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12/13/2022
AFLGuard: Byzantine-robust Asynchronous Federated Learning
Federated learning (FL) is an emerging machine learning paradigm, in whi...
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08/06/2021
Toward Efficient Online Scheduling for Distributed Machine Learning Systems
Recent years have witnessed a rapid growth of distributed machine learni...
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06/14/2021
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning
Federated learning (FL) is a prevailing distributed learning paradigm, w...
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05/04/2021
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Decentralized nonconvex optimization has received increasing attention i...
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12/06/2019
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors
Network-distributed optimization has attracted significant attention in ...
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12/10/2018
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks
Network consensus optimization has received increasing attention in rece...
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09/27/2018