The authors introduce IPSS, a stratified-sampling algorithm that approximates Shapley-based data value in federated learning by focusing on small, high-impact coalitions of clients.
Communication-efficient learning of deep networks from decentralized data,
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Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
The authors introduce IPSS, a stratified-sampling algorithm that approximates Shapley-based data value in federated learning by focusing on small, high-impact coalitions of clients.