FedNAMs averages per-feature neural additive models across clients in federated learning, but the paper lacks the quantitative accuracy comparison its central claim requires.
Fast federated learning in the presence of arbitrary device unavailability
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FedNAMs: Performing Interpretability Analysis in Federated Learning Context
FedNAMs averages per-feature neural additive models across clients in federated learning, but the paper lacks the quantitative accuracy comparison its central claim requires.