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ORCIDSongze Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j19]Songze Li
, Zhijing Wu, Runmin Cao, Xiaohan Zhang, Yifan Wang, Hua Xu, Kai Gao:
Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC. Intell. Syst. Appl. 26: 200497 (2025)- [j18]Xiaohan Zhang, Runmin Cao, Yifan Wang, Songze Li, Hua Xu, Kai Gao, Lunsong Huang:
A unified prompt-based framework for few-shot multimodal language analysis. Intell. Syst. Appl. 26: 200498 (2025) - [j17]Kai Liang, Songze Li, Ming Ding, Feng Tian, Youlong Wu:
Privacy-Preserving Coded Schemes for Multi-Server Federated Learning With Straggling Links. IEEE Trans. Inf. Forensics Secur. 20: 1222-1236 (2025) - [c44]Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li:
Agent-Oriented Planning in Multi-Agent Systems. ICLR 2025 - [c43]Chunjiang Che, Songze Li, Xuechao Wang:
Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding. NDSS 2025 - [c42]Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan:
URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. NDSS 2025 - [i66]Jinjing Zhu, Songze Li, Lin Wang:
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective. CoRR abs/2501.07040 (2025) - [i65]Yijia Chang, Songze Li:
Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity. CoRR abs/2501.11235 (2025) - [i64]Aobotao Dai, Xinyu Ma, Lei Chen, Songze Li, Lin Wang:
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs. CoRR abs/2502.06390 (2025) - [i63]Yijia Chang, Songze Li:
Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity. IACR Cryptol. ePrint Arch. 2025: 84 (2025) - 2024
- [j16]Haoyang Hu, Songze Li, Minquan Cheng, Shuai Ma, Yuanming Shi, Youlong Wu:
On Exploiting Network Topology for Hierarchical Coded Multi-Task Learning. IEEE Trans. Commun. 72(8): 4930-4944 (2024) - [j15]Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang:
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. 23(6): 6623-6638 (2024) - [c41]Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Jilan Xu, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang:
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding. ECCV (85) 2024: 396-416 - [c40]Duanyi Yao, Songze Li, Ye Xue, Jin Liu:
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. ICLR 2024 - [c39]Songze Li, Yanbo Dai:
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. USENIX Security Symposium 2024 - [c38]Songze Li, Ailing Chen, Zhenzhou Tang:
Joint User Association and Power Allocation in Multi-connectivity Enabled mmWave Networks: a Perspective of Rate Trade-off among Users. VTC Fall 2024: 1-6 - [i62]Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang:
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding. CoRR abs/2403.15377 (2024) - [i61]Jin Xie, Chenqing Zhu, Songze Li:
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory. CoRR abs/2404.12710 (2024) - [i60]Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan:
Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning. CoRR abs/2404.19582 (2024) - [i59]Songze Li, Ruoxi Cheng, Xiaojun Jia:
Identity Inference from CLIP Models using Only Textual Data. CoRR abs/2405.14517 (2024) - [i58]Songze Li, Chenqing Zhu:
Towards Client Driven Federated Learning. CoRR abs/2405.15407 (2024) - [i57]Songze Li, Yanbo Dai:
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. CoRR abs/2405.20862 (2024) - [i56]Songze Li, Mingzhe Liu, Mengqi Chen:
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing. CoRR abs/2406.06477 (2024) - [i55]Jin Xie, Songze Li:
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models. CoRR abs/2407.03622 (2024) - [i54]Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire:
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning. CoRR abs/2407.08954 (2024) - [i53]Chunjiang Che, Songze Li, Xuechao Wang:
Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding. CoRR abs/2407.16295 (2024) - [i52]Duanyi Yao, Songze Li, Ye Xue, Jin Liu:
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. CoRR abs/2408.04310 (2024) - [i51]Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li:
Agent-Oriented Planning in Multi-Agent Systems. CoRR abs/2410.02189 (2024) - [i50]Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang:
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. CoRR abs/2410.19702 (2024) - [i49]Yuyou Gan, Yong Yang, Zhe Ma, Ping He, Rui Zeng, Yiming Wang, Qingming Li, Chunyi Zhou, Songze Li, Ting Wang, Yunjun Gao, Yingcai Wu, Shouling Ji:
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents. CoRR abs/2411.09523 (2024) - [i48]Sizai Hou, Songze Li, Duanyi Yao:
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders. CoRR abs/2411.16154 (2024) - [i47]Xueluan Gong, Yuji Wang, Shuaike Li, Mengyuan Sun, Songze Li, Qian Wang, Kwok-Yan Lam, Chen Chen:
Hidden Data Privacy Breaches in Federated Learning. CoRR abs/2411.18269 (2024) - [i46]Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang:
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. CoRR abs/2412.08467 (2024) - [i45]Songze Li, Yanbo Dai:
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. IACR Cryptol. ePrint Arch. 2024: 862 (2024) - 2023
- [j14]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Commun. 41(4): 977-989 (2023) - [j13]Haoyang Hu, Youlong Wu, Yuanming Shi, Songze Li, Chunxiao Jiang, Wei Zhang:
Communication-Efficient Coded Computing for Distributed Multi-Task Learning. IEEE Trans. Commun. 71(7): 3861-3875 (2023) - [j12]Jinbao Zhu, Songze Li, Jie Li:
Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage. IEEE Trans. Inf. Forensics Secur. 18: 1680-1695 (2023) - [c37]Kai Liang, Songze Li, Ming Ding, Youlong Wu:
Multi-Server Secure Aggregation with Unreliable Communication Links. GLOBECOM 2023: 2560-2565 - [c36]Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang:
Active Few-shot Learning For RouteNet-Fermi. GNNet@CoNEXT 2023: 19-24 - [c35]Yanbo Dai, Songze Li:
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. ICML 2023: 6712-6725 - [c34]Songze Li, Duanyi Yao, Jin Liu:
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. ICML 2023: 20296-20311 - [c33]Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun:
Secure Embedding Aggregation for Federated Representation Learning. ISIT 2023: 2392-2397 - [c32]Zhenhao Huang, Songze Li, Kai Liang, Youlong Wu:
Secure Gradient Aggregation for Wireless Multi-Server Federated Learning. ISIT 2023: 2404-2409 - [c31]Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu:
Coded Distributed Computing for Hierarchical Multi-task Learning. ITW 2023: 480-485 - [c30]Fuxiang Yang, Tonghua Su, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li:
Self-Supervised Cross-Language Scene Text Editing. ACM Multimedia 2023: 4546-4554 - [i44]Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu:
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR abs/2304.05402 (2023) - [i43]Kai Liang, Songze Li, Ming Ding, Youlong Wu:
Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR abs/2304.07573 (2023) - [i42]Tonghua Su, Fuxiang Yang, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li:
Scene Style Text Editing. CoRR abs/2304.10097 (2023) - [i41]Yanbo Dai, Songze Li:
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. CoRR abs/2304.12961 (2023) - [i40]Songze Li, Duanyi Yao, Jin Liu:
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. CoRR abs/2304.13407 (2023) - [i39]Songze Li, Duanyi Yao, Jin Liu:
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. IACR Cryptol. ePrint Arch. 2023: 597 (2023) - 2022
- [j11]Jinbao Zhu, Songze Li:
A Systematic Approach Towards Efficient Private Matrix Multiplication. IEEE J. Sel. Areas Inf. Theory 3(2): 257-274 (2022) - [j10]Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin:
Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j9]Jinbao Zhu, Qifa Yan, Xiaohu Tang, Songze Li:
Symmetric Private Polynomial Computation From Lagrange Encoding. IEEE Trans. Inf. Theory 68(4): 2704-2718 (2022) - [c29]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. ISIT 2022: 103-108 - [c28]Jinbao Zhu, Songze Li:
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. ISIT 2022: 832-837 - [c27]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT 2022: 2028-2033 - [c26]Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr:
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys 2022 - [c25]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS 2022 - [i38]Jinbao Zhu, Songze Li:
A Systematic Approach towards Efficient Private Matrix Multiplication. CoRR abs/2201.00646 (2022) - [i37]Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang:
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR abs/2201.10092 (2022) - [i36]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. CoRR abs/2202.04169 (2022) - [i35]Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire:
SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning. CoRR abs/2203.13060 (2022) - [i34]Jinbao Zhu, Songze Li:
Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. CoRR abs/2204.11168 (2022) - [i33]Jinbao Zhu, Jie Li, Songze Li:
Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers. CoRR abs/2205.01505 (2022) - [i32]Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr:
Secure Federated Clustering. CoRR abs/2205.15564 (2022) - [i31]Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun:
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. CoRR abs/2206.09097 (2022) - [i30]Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang:
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR abs/2210.02680 (2022) - [i29]Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang:
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR abs/2211.04132 (2022) - [i28]Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu:
Coded Distributed Computing for Hierarchical Multi-task Learning. CoRR abs/2212.08236 (2022) - [i27]Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr:
Secure Federated Clustering. IACR Cryptol. ePrint Arch. 2022: 682 (2022) - [i26]Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun:
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. IACR Cryptol. ePrint Arch. 2022: 784 (2022) - 2021
- [j8]Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao:
Estimating Leaf Area Index with Dynamic Leaf Optical Properties. Remote. Sens. 13(23): 4898 (2021) - [j7]Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. IEEE Trans. Commun. 69(5): 2773-2783 (2021) - [j6]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. 16: 249-261 (2021) - [i25]Jiacheng Liang, Wensi Jiang, Songze Li:
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. CoRR abs/2107.05252 (2021) - [i24]Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr:
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR abs/2109.14236 (2021) - [i23]Jiacheng Liang, Wensi Jiang, Songze Li:
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. IACR Cryptol. ePrint Arch. 2021: 939 (2021) - 2020
- [j5]Songze Li, Salman Avestimehr:
Coded Computing. Found. Trends Commun. Inf. Theory 17(1): 1-148 (2020) - [c24]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography 2020: 114-134 - [c23]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT 2020: 203-208 - [i22]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i21]Songze Li, David Tse:
TaiJi: Longest Chain Availability with BFT Fast Confirmation. CoRR abs/2011.11097 (2020) - [i20]Songze Li, David Tse:
TaiJi: Longest Chain Availability with BFT Fast Confirmation. IACR Cryptol. ePrint Arch. 2020: 1470 (2020)
2010 – 2019
- 2019
- [c22]Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS 2019: 1215-1225 - [c21]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC 2019: 150-152 - [i19]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR abs/1906.10817 (2019) - [i18]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR abs/1910.01247 (2019) - [i17]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. 2019: 1139 (2019) - 2018
- [j4]Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr:
A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. IEEE Trans. Inf. Theory 64(1): 109-128 (2018) - [c20]Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops 2018: 857-866 - [c19]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. ISIT 2018: 2032-2036 - [c18]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [c17]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS 2018: 8056-8067 - [i16]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. CoRR abs/1805.01993 (2018) - [i15]Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR abs/1805.09934 (2018) - [i14]Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR abs/1809.10361 (2018) - [i13]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - [i12]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR abs/1811.03619 (2018) - [i11]Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IACR Cryptol. ePrint Arch. 2018: 925 (2018) - 2017
- [j3]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coding for Distributed Fog Computing. IEEE Commun. Mag. 55(4): 34-40 (2017) - [j2]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Scalable Framework for Wireless Distributed Computing. IEEE/ACM Trans. Netw. 25(5): 2643-2654 (2017) - [c16]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Architectures for coded mobile edge computing. FWC 2017: 1-6 - [c15]Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
How to optimally allocate resources for coded distributed computing? ICC 2017: 1-7 - [c14]Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Coded TeraSort. IPDPS Workshops 2017: 389-398 - [c13]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-aware computing for edge processing. ISIT 2017: 2885-2889 - [i10]Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded TeraSort. CoRR abs/1702.04850 (2017) - [i9]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coding for Distributed Fog Computing. CoRR abs/1702.06082 (2017) - [i8]Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
How to Optimally Allocate Resources for Coded Distributed Computing? CoRR abs/1702.07297 (2017) - [i7]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Communication-Aware Computing for Edge Processing. CoRR abs/1706.07523 (2017) - [i6]Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Near-Optimal Straggler Mitigation for Distributed Gradient Methods. CoRR abs/1710.09990 (2017) - 2016
- [j1]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. IEEE Trans. Commun. 64(2): 572-585 (2016) - [c12]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded distributed computing: Fundamental limits and practical challenges. ACSSC 2016: 509-513 - [c11]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded Distributed Computing: Straggling Servers and Multistage Dataflows. Allerton 2016: 164-171 - [c10]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing. SEC 2016: 79-80 - [c9]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Unified Coding Framework for Distributed Computing with Straggling Servers. GLOBECOM Workshops 2016: 1-6 - [c8]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Edge-Facilitated Wireless Distributed Computing. GLOBECOM 2016: 1-7 - [c7]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Fundamental tradeoff between computation and communication in distributed computing. ISIT 2016: 1814-1818 - [i5]Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr:
A Fundamental Tradeoff between Computation and Communication in Distributed Computing. CoRR abs/1604.07086 (2016) - [i4]Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Scalable Framework for Wireless Distributed Computing. CoRR abs/1608.05743 (2016) - [i3]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
A Unified Coding Framework for Distributed Computing with Straggling Servers. CoRR abs/1609.01690 (2016) - 2015
- [c6]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded MapReduce. Allerton 2015: 964-971 - [c5]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-orbiter communication in Mars: Taking advantage of the varying topology. ISIT 2015: 631-635 - [i2]Songze Li, David T. H. Kao, Amir Salman Avestimehr:
Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. CoRR abs/1504.04797 (2015) - [i1]Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Coded MapReduce. CoRR abs/1512.01625 (2015) - 2014
- [c4]Songze Li, Emrah Akyol, Urbashi Mitra:
Power allocation for Gaussian multiple access channel with noisy cooperative links. ICASSP 2014: 474-478 - [c3]Tonghua Su, Songze Li, Peijun Ma, Shengchun Deng, Guangsheng Liang:
Scalable Prototype Learning Using GPUs. ICIAR (1) 2014: 309-319 - 2013
- [c2]Songze Li, Urbashi Mitra, Ashish Pandharipande:
Cooperative spectrum sharing with joint receiver decoding. ICASSP 2013: 5298-5302 - 2012
- [c1]Songze Li, Urbashi Mitra, Vishnu V. Ratnam, Ashish Pandharipande:
Jointly cooperative decode-and-forward relaying for secondary spectrum access. CISS 2012: 1-6
Coauthor Index
Amir Salman Avestimehr
aka: Salman Avestimehr
aka: Salman Avestimehr
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-13 21:42 CEST by the dblp team
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