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2020 – today
- 2023
[j13]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)- [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) - [i43]Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu:
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR abs/2304.05402 (2023) - [i42]Kai Liang, Songze Li, Ming Ding, Youlong Wu:
Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR abs/2304.07573 (2023) - [i41]Tonghua Su, Fuxiang Yang, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li:
Scene Style Text Editing. CoRR abs/2304.10097 (2023) - [i40]Yanbo Dai, Songze Li:
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. CoRR abs/2304.12961 (2023) - [i39]Songze Li, Duanyi Yao, Jin Liu:
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. CoRR abs/2304.13407 (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 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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last updated on 2023-05-12 21:07 CEST by the dblp team
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