5 citations · 6 across the 3 of their papers we have counts for
3 papers
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)…
math.OC2023
Error Feedback Shines when Features are Rare
Peter Richtárik, Elnur Gasanov, Konstantin Burlachenko
We provide the first proof that gradient descent with greedy sparsification and error feedback $\left({\…
cs.LG2023★ 5 cited
Federated Learning with Regularized Client Participation
Grigory Malinovsky, Samuel Horváth, Konstantin Burlachenko +1
Federated Learning (FL) is a distributed machine learning approach where multiple clients work together to solve a machine learning task. One of the key challenges in FL is the iss…