Christopher G. Brinton

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 183

Top Venues

CoRR

INFOCOM

IEEE/ACM Trans. Netw.

GLOBECOM

Publications

Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Trans. Cogn. Commun. Netw. 10 (3) (2024)
Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
Complexity Reduction in Machine Learning-Based Wireless Positioning: Minimum Description Features. CoRR (2024)
Myeung Suk Oh, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. 42 (2) (2024)
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. CoRR (2024)
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. IEEE Trans. Intell. Veh. 9 (1) (2024)
Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR (2024)
Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui
Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Seohyun Lee, Anindya Bijoy Das, Satyavrat Wagle, Christopher G. Brinton
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning. CoRR (2024)
David Nickel, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs. CoRR (2024)
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR (2024)
Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR (2024)
Evan Chen, Shiqiang Wang, Christopher G. Brinton
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. INFOCOM (2024)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton
Delay-Aware Hierarchical Federated Learning. IEEE Trans. Cogn. Commun. Netw. 10 (2) (2024)
Matthew A. Bliss, Frederick J. Block, Thomas C. Royster IV, Christopher G. Brinton, David J. Love
Orchestrating Heterogeneous NTNs: From Stochastic Geometry to Resource Allocation. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Frank Po-Chen Lin, Christopher G. Brinton
Differential Privacy in Hierarchical Federated Learning: A Formal Analysis and Evaluation. CoRR (2024)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR (2024)
Myeung Suk Oh, Anindya Bijoy Das, Taejoon Kim, David J. Love, Christopher G. Brinton
Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning. CoRR (2024)
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. IEEE/ACM Trans. Netw. 32 (1) (2024)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton
Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks. IEEE Trans. Mob. Comput. 23 (6) (2024)
Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR (2024)
Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. WWW (Companion Volume) (2024)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. 42 (5) (2024)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. INFOCOM (2023)
Boris Velasevic, Rohit Parasnis, Christopher G. Brinton, Navid Azizan
On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers. CDC (2023)
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)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Distributed Matrix Computations with Low-weight Encodings. CoRR (2023)
Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR (2023)
Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM (2023)
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) (2023)
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 (2023)
Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang
Distributional Cloning for Stabilized Imitation Learning via ADMM. ICDM (2023)
Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR (2023)
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) (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Distributed Matrix Computations with Low-weight Encodings. ISIT (2023)
Chang-Lin Chen, Christopher G. Brinton, Vaneet Aggarwal
Latency Minimization for Mobile Edge Computing Networks. IEEE Trans. Mob. Comput. 22 (4) (2023)
Liangqi Yuan, Ziran Wang, Christopher G. Brinton
Digital Ethics in Federated Learning. CoRR (2023)
Surojit Ganguli, Zeyu Zhou, Christopher G. Brinton, David I. Inouye
Fault-Tolerant Vertical Federated Learning on Dynamic Networks. CoRR (2023)
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) (2023)
Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR (2023)
Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. NeurIPS (2023)
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. IEEE/ACM Trans. Netw. 31 (6) (2023)
Dinh C. Nguyen, David J. Love, Christopher G. Brinton
Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning. ICC (2023)
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 (2023)
Omid Moghimi Kandelusy, Christopher G. Brinton, Taejoon Kim
Distributed Quantized Transmission and Fusion for Federated Machine Learning. VTC Fall (2023)
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) (2023)
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 (2023)
Su Wang, Rajeev Sahay, Christopher G. Brinton
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC (2023)
Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi, Stanislaw H. Zak, Christopher G. Brinton
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
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 (2023)
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)
Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton
Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. CoRR (2023)
Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS (2023)
Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR (2023)
Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin
Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. GLOBECOM (2023)
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) (2023)
Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. ICML (2023)
Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR (2023)
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 (2023)
Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR (2023)
Yongjeong Oh, Jaeho Lee, Christopher G. Brinton, Yo-Seb Jeon
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Coded Matrix Computations for D2D-enabled Linearized Federated Learning. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. ICASSP (2023)
Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor
On Pseudolinear Codes for Correcting Adversarial Errors. FOCS (2023)
Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor
On Pseudolinear Codes for Correcting Adversarial Errors. CoRR (2023)
Evan Chen, Shiqiang Wang, Christopher G. Brinton
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. CoRR (2023)
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 (2023)
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)
Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye
Efficient Federated Domain Translation. ICLR (2023)
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi
Delay-Aware Hierarchical Federated Learning. CoRR (2023)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. Allerton (2023)
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)
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton
Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations. CoRR (2023)
Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61 (12) (2023)
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 (2023)
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 (2023)
Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. CoRR (2023)
Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. CoRR (2023)
Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton
A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. GLOBECOM (2023)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. CoRR (2022)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CDC (2022)
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 (2022)
Serena Nicoll, Kerrie A. Douglas, Christopher G. Brinton
Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance. LAK (2022)
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
Linear Coding for Gaussian Two-Way Channels. Allerton (2022)
Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR (2022)
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)
Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. CoRR (2022)
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 (2022)
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) (2022)
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) (2022)
Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CoRR (2022)
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 (2022)
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) (2022)
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR (2022)
Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew Lan, Christopher G. Brinton
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM (2022)
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)
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 (2022)

Christopher G. Brinton.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Christopher G. Brinton