A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems

no code implementations • 6 Dec 2023 • Tamir L. S. Gez, Kobi Cohen

In this paper, we develop a novel algorithm that overcomes these limitations by synergistically combining a pruning-based method with the FL process, resulting in low-dimensional representations of the model with minimal communication cost, dubbed Masked Pruning over FL (MPFL).

Dimensionality Reduction Federated Learning