FedNAMs averages per-feature neural additive models across clients in federated learning, but the paper lacks the quantitative accuracy comparison its central claim requires.
Generalized additive models
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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.