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06/14/2023
Provably Personalized and Robust Federated Learning
Clustering clients with similar objectives and learning a model per clus...
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02/03/2022
Byzantine-Robust Decentralized Learning via Self-Centered Clipping
In this paper, we study the challenging task of Byzantine-robust decentr...
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02/09/2021
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Decentralized training of deep learning models is a key element for enab...
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08/08/2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Federated learning is a challenging optimization problem due to the hete...
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01/28/2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
Sign-based algorithms (e.g. signSGD) have been proposed as a biased grad...
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06/01/2018
