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cs.LG2023★ 1 cited
A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems
Tamir L. S. Gez, Kobi Cohen
Federated Learning (FL) represents a growing machine learning (ML) paradigm designed for training models across numerous nodes that retain local datasets, all without directly exch…
cs.LG2023★ 3 cited
Sparse Training for Federated Learning with Regularized Error Correction
Ran Greidi, Kobi Cohen
Federated Learning (FL) has attracted much interest due to the significant advantages it brings to training deep neural network (DNN) models. However, since communications and comp…