FedSB combines client-level label smoothing with equal-sized per-client training budgets and reports state-of-the-art accuracy on three of four federated domain generalization benchmarks.
Learning from extrin- sic and intrinsic supervisions for domain generalization,
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Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
FedSB combines client-level label smoothing with equal-sized per-client training budgets and reports state-of-the-art accuracy on three of four federated domain generalization benchmarks.