most citedSalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training

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cs.LG2024

SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning

Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite +3

In this work, we propose Salient Sparse Federated Learning (SSFL), a streamlined approach for sparse federated learning with efficient communication. SSFL identifies a sparse subne…

cs.LG2023★ 2 cited

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training

Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli +3

Federated learning (FL) enables the training of a model leveraging decentralized data in client sites while preserving privacy by not collecting data. However, one of the significa…