most citedWelfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 2 cited

Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

Yash Travadi, Le Peng, Xuan Bi +2

Federated learning (FL) is a privacy-preserving learning technique that enables distributed computing devices to train shared learning models across data silos collaboratively. Exi…