15 citations · 33 across the 12 of their papers we have counts for
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cs.LG2024
Unlocking FedNL: Self-Contained Compute-Optimized Implementation
Konstantin Burlachenko, Peter Richtárik
Federated Learning (FL) is an emerging paradigm that enables intelligent agents to collaboratively train Machine Learning (ML) models in a distributed manner, eliminating the need…
cs.LG2024★ 1 cited
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko
Error Feedback (EF) is a highly popular and immensely effective mechanism for fixing convergence issues which arise in distributed training methods (such as distributed GD or SGD)…