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News/Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning
arxiv
PublishedMay 22, 2026 at 4:00 AM
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Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning

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arXiv:2605.20975v2 Announce Type: replace Abstract: Federated Learning enables collaborative model training across decentralized data sources without data transfer. Averaging-based FL is limited by the presence of non-IID data, which negatively impacts convergence speed and final model accuracy. Con

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