Federated Learning via Inexact ADMM
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DOI: 10.48550/arxiv.2204.10607
Abstract: One of the crucial issues in federated learning is how to develop efficient optimization algorithms. Most of the current ones require full device participation and/or impose strong assumptions for convergence. Different from the widely-used gradient… read more here.
Keywords: via inexact; federated learning; learning via; inexact admm ... See more keywords