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ORCIDChristopher G. Brinton
Christopher Brinton 0001
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- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2023
[j31]Eric Ruzomberka
, David J. Love, Christopher G. Brinton, Arpit Gupta, Chih-Chun Wang, H. Vincent Poor:
Challenges and Opportunities for Beyond-5G Wireless Security. IEEE Secur. Priv. 21(5): 55-66 (2023)- [j30]Deepali Kushwaha, Surender Redhu, Christopher G. Brinton, Rajesh M. Hegde:
Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks. IEEE Internet Things J. 10(12): 10845-10856 (2023) - [j29]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations With Low-Weight Encodings. IEEE J. Sel. Areas Inf. Theory 4: 363-378 (2023) - [j28]Rajeev Sahay, Minjun Zhang, David J. Love, Christopher G. Brinton:
Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders. IEEE Trans. Cogn. Commun. Netw. 9(4): 913-926 (2023) - [j27]Servio Palacios, Aaron Ault, James V. Krogmeier, Bharat K. Bhargava, Christopher G. Brinton:
AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework With Oblivious Smart Contracts. IEEE Trans. Dependable Secur. Comput. 20(4): 3269-3286 (2023) - [j26]Chang-Lin Chen, Christopher G. Brinton, Vaneet Aggarwal:
Latency Minimization for Mobile Edge Computing Networks. IEEE Trans. Mob. Comput. 22(4): 2233-2247 (2023) - [j25]Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang:
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Trans. Netw. Serv. Manag. 20(2): 1847-1865 (2023) - [j24]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. 31(5): 2086-2100 (2023) - [j23]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, James V. Krogmeier, Christopher G. Brinton:
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement. IEEE Trans. Veh. Technol. 72(11): 14656-14672 (2023) - [c57]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton 2023: 1-8 - [c56]Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, David J. Love, H. Vincent Poor:
Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II. Allerton 2023: 1-8 - [c55]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP 2023: 1-5 - [c54]Su Wang, Rajeev Sahay, Christopher G. Brinton:
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC 2023: 2376-2381 - [c53]Dinh C. Nguyen, David J. Love, Christopher G. Brinton:
Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning. ICC 2023: 4603-4608 - [c52]Wai Ming Chan, Hyuck M. Kwon, Rémi A. Chou, David J. Love, Sonia Fahmy, Syed Rafiul Hussain, Sang Wu Kim, Chris Vander Valk, Christopher G. Brinton, Vuk Marojevic, Khanh D. Pham, Taejoon Kim:
Adaptive Frequency Hopping for 5G New Radio mMTC Security. ICIT 2023: 1-5 - [c51]Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye:
Efficient Federated Domain Translation. ICLR 2023 - [c50]Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton:
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. ICML 2023: 16599-16618 - [c49]Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon:
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM 2023: 1-10 - [c48]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations with Low-weight Encodings. ISIT 2023: 1979-1984 - [c47]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc 2023: 31-40 - [c46]Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu:
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV 2023: 3847-3857 - [i65]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR abs/2301.01606 (2023) - [i64]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Distributed Matrix Computations with Low-weight Encodings. CoRR abs/2301.12685 (2023) - [i63]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR abs/2302.12305 (2023) - [i62]Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton:
Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR abs/2302.14648 (2023) - [i61]Eric Ruzomberka, David J. Love, Christopher G. Brinton, Arpit Gupta, Chih-Chun Wang, H. Vincent Poor:
Challenges and Opportunities for Beyond-5G Wireless Security. CoRR abs/2303.00727 (2023) - [i60]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR abs/2303.08361 (2023) - [i59]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR abs/2303.08988 (2023) - [i58]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi:
Delay-Aware Hierarchical Federated Learning. CoRR abs/2303.12414 (2023) - [i57]Boris Velasevic, Rohit Parasnis, Christopher G. Brinton, Navid Azizan:
On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers. CoRR abs/2304.10640 (2023) - [i56]Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton:
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR abs/2304.12422 (2023) - [i55]Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton:
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. CoRR abs/2304.13178 (2023) - [i54]Andrew Katz, Siqing Wei, Gaurav Nanda, Christopher Brinton, Matthew W. Ohland:
Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy. CoRR abs/2305.11882 (2023) - [i53]Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR abs/2305.13503 (2023) - [i52]Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, David J. Love, H. Vincent Poor:
Derandomizing Codes for the Binary Adversarial Wiretap Channel of Type II. CoRR abs/2307.04222 (2023) - [i51]Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor:
On Pseudolinear Codes for Correcting Adversarial Errors. CoRR abs/2307.05528 (2023) - [i50]Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon:
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. CoRR abs/2307.10805 (2023) - [i49]Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton:
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR abs/2308.04331 (2023) - [i48]Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton, Stanislaw H. Zak, Ziran Wang:
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. CoRR abs/2308.10407 (2023) - [i47]Liangqi Yuan, Ziran Wang, Christopher G. Brinton:
Digital Ethics in Federated Learning. CoRR abs/2310.03178 (2023) - [i46]Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton:
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. CoRR abs/2310.07048 (2023) - [i45]Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton:
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. CoRR abs/2310.17890 (2023) - [i44]Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal:
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. CoRR abs/2310.19807 (2023) - [i43]Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon:
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR abs/2311.00227 (2023) - [i42]Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR abs/2311.04350 (2023) - [i41]Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton:
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. CoRR abs/2311.07946 (2023) - 2022
- [j22]Rajeev Sahay, Swaroop Appadwedula, David J. Love, Christopher G. Brinton:
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions. IEEE Commun. Lett. 26(9): 2161-2165 (2022) - [j21]Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton:
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. IEEE J. Sel. Areas Commun. 40(12): 3373-3390 (2022) - [j20]Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai:
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Trans. Cloud Comput. 10(4): 2264-2280 (2022) - [j19]Rajeev Sahay, Christopher G. Brinton, David J. Love:
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification. IEEE Trans. Cogn. Commun. Netw. 8(1): 71-85 (2022) - [j18]Junghoon Kim, Taejoon Kim, Morteza Hashemi, David J. Love, Christopher G. Brinton:
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. IEEE/ACM Trans. Netw. 30(4): 1454-1468 (2022) - [j17]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. 30(4): 1569-1584 (2022) - [j16]Jing Guo, Raghu G. Raj, David J. Love, Christopher G. Brinton:
Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization. IEEE Trans. Signal Process. 70: 2593-2608 (2022) - [j15]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Learning-Based Adaptive IRS Control With Limited Feedback Codebooks. IEEE Trans. Wirel. Commun. 21(11): 9566-9581 (2022) - [c45]Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton:
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022: 11320-11340 - [c44]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Linear Coding for Gaussian Two-Way Channels. Allerton 2022: 1-8 - [c43]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CDC 2022: 4680-4687 - [c42]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM 2022: 3033-3042 - [c41]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM 2022: 492-497 - [c40]Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. GLOBECOM 2022: 5063-5068 - [c39]David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. ICC Workshops 2022: 43-48 - [c38]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. ICC 2022: 5171-5177 - [c37]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 - [c36]Serena Nicoll, Kerrie A. Douglas, Christopher G. Brinton:
Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance. LAK 2022: 239-249 - [c35]Rajeev Sahay, Gabriel C. Birch, Jaclynn J. Stubbs, Christopher G. Brinton:
Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles. VTC Spring 2022: 1-5 - [i40]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR abs/2202.00280 (2022) - [i39]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR abs/2202.02947 (2022) - [i38]Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton:
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. CoRR abs/2203.09670 (2022) - [i37]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR abs/2203.13950 (2022) - [i36]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CoRR abs/2204.03726 (2022) - [i35]Alexander Scarlatos, Christopher G. Brinton, Andrew S. Lan:
Process-BERT: A Framework for Representation Learning on Educational Process Data. CoRR abs/2204.13607 (2022) - [i34]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR abs/2205.03636 (2022) - [i33]Servio Palacios, Aaron Ault, James V. Krogmeier, Bharat K. Bhargava, Christopher G. Brinton:
AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework with Oblivious Smart Contracts. CoRR abs/2207.12482 (2022) - [i32]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR abs/2208.01182 (2022) - [i31]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR abs/2208.02856 (2022) - [i30]Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui:
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. CoRR abs/2209.10200 (2022) - [i29]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Linear Coding for Gaussian Two-Way Channels. CoRR abs/2210.16569 (2022) - [i28]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. CoRR abs/2211.12640 (2022) - [i27]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR abs/2212.02985 (2022) - [i26]Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon:
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. CoRR abs/2212.08343 (2022) - 2021
- [j14]Rajeev Sahay, Christopher G. Brinton:
Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning. IEEE Access 9: 87579-87591 (2021) - [j13]Tenzin Doleck, David John Lemay, Christopher G. Brinton:
Evaluating the efficiency of social learning networks: Perspectives for harnessing learning analytics to improve discussions. Comput. Educ. 164: 104124 (2021) - [j12]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. 39(1): 201-218 (2021) - [j11]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. IEEE J. Sel. Areas Commun. 39(12): 3851-3869 (2021) - [j10]Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li:
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. ACM Trans. Intell. Syst. Technol. 12(5): 54:1-54:29 (2021) - [j9]Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. 29(5): 2019-2032 (2021) - [c34]Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton:
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. ACSCC 2021: 1715-1719 - [c33]Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. IEEE BigData 2021: 1389-1398 - [c32]Rajeev Sahay, David J. Love, Christopher G. Brinton:
Robust Automatic Modulation Classification in the Presence of Adversarial Attacks. CISS 2021: 1-6 - [c31]Tiantian Li, Laura Melissa Cruz Castro, Kerrie A. Douglas, Christopher G. Brinton:
Relationship between learning engagement metrics and learning outcomes in online engineering course. FIE 2021: 1-5 - [c30]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. GLOBECOM 2021: 1-6 - [c29]Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu:
Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. ICAIF 2021: 44:1-44:9 - [c28]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach. ICC Workshops 2021: 1-7 - [c27]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love:
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. ICC 2021: 1-6 - [c26]Rajeev Sahay, Christopher G. Brinton, David J. Love:
Frequency-based Automated Modulation Classification in the Presence of Adversaries. ICC 2021: 1-6 - [c25]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM 2021: 1-10 - [i25]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR abs/2101.00787 (2021) - [i24]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love:
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. CoRR abs/2101.10300 (2021) - [i23]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. CoRR abs/2103.10481 (2021) - [i22]Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang:
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR abs/2106.15734 (2021) - [i21]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. CoRR abs/2109.03350 (2021) - [i20]Yun-Wei Chu, Elizabeth Tenorio, Laura Melissa Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. CoRR abs/2111.00901 (2021) - [i19]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR abs/2112.01874 (2021) - [i18]David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. CoRR abs/2112.13926 (2021) - 2020
- [j8]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020) - [j7]Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng:
Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. 28(2): 902-916 (2020) - [c24]Yuwei Tu, Elizabeth Tenorio, Christopher G. Brinton:
An Adaptive Content Skipping Methodology based on User Behavioral Modeling. CISS 2020: 1-6 - [c23]Frank Po-Chen Lin, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning with Communication Delay in Edge Networks. GLOBECOM 2020: 1-7 - [c22]Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. INFOCOM 2020: 2086-2095 - [c21]Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM 2020: 2509-2518 - [i17]Yuwei Tu, Weiyu Chen, Christopher G. Brinton:
A Deep Learning Approach to Behavior-Based Learner Modeling. CoRR abs/2001.08328 (2020) - [i16]Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love:
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. CoRR abs/2002.11850 (2020) - [i15]Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong:
Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR abs/2004.08488 (2020) - [i14]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR abs/2006.03594 (2020) - [i13]