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08/02/2023
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
In this paper, we investigate the impact of compression on stochastic gr...
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02/24/2021
Preserved central model for faster bidirectional compression in distributed settings
We develop a new approach to tackle communication constraints in a distr...
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06/25/2020
