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1 result for “Power-of-Choice”
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategiescs.LG

This paper analyzes and improves convergence in federated learning with biased client selection.

problem Analyzing convergence in federated learning with biased client selection.
method First convergence analysis of federated optimization for biased client selection strategies, proposing Power-of-Choice framework.
result Power-of-Choice strategies converge up to 3 times faster and give 10% higher test accuracy than random selection.
Federated LearningConvergence AnalysisClient SelectionBiased SelectionPower-of-Choice
2020-10-03abs ↗pdf ↗