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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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04/20/2023
Debiasing Conditional Stochastic Optimization
In this paper, we study the conditional stochastic optimization (CSO) pr...
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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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10/08/2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
In decentralized machine learning, workers compute model updates on thei...
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12/18/2020
Learning from History for Byzantine Robust Optimization
Byzantine robustness has received significant attention recently given i...
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06/16/2020
Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
In Byzantine robust distributed optimization, a central server wants to ...
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06/08/2020
Secure Byzantine-Robust Machine Learning
Increasingly machine learning systems are being deployed to edge servers...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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08/13/2018