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Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point



Bhargav Ganguly , Seyyedali Hosseinalipour , Kwang Taik Kim , Christopher G. Brinton , Vaneet Aggarwal , David J. Love , Mung Chiang


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Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing



Hung T. Nguyen , H. Vincent Poor , Mung Chiang

* 10 pages 

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Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks



Seyyedali Hosseinalipour , Su Wang , Nicolo Michelusi , Vaneet Aggarwal , Christopher G. Brinton , David J. Love , Mung Chiang


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Adversarial Neural Networks for Error Correcting Codes



Hung T. Nguyen , Steven Bottone , Kwang Taik Kim , Mung Chiang , H. Vincent Poor

* 6 pages, accepted to GLOBECOM 2021 

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On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge



Hung T. Nguyen , Roberto Morabito , Kwang Taik Kim , Mung Chiang

* 6 pages, accepted to GLOBECOM 2021 

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UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach



Su Wang , Seyyedali Hosseinalipour , Maria Gorlatova , Christopher G. Brinton , Mung Chiang


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Improving Adversarial Robustness Using Proxy Distributions



Vikash Sehwag , Saeed Mahloujifar , Tinashe Handina , Sihui Dai , Chong Xiang , Mung Chiang , Prateek Mittal

* 24 pages, 5 figures, 4 tables 

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