Nesrine Kaaniche
1 indexed paper
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126
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ML×1Crypto×1
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2026
Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning
The paper proposes a proactive client selection framework that optimizes the selection of client subsets to ensure high data utility and fairness before federated learning begins, leading to faster and more accurate model training.
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