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FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Rahil, Sameer, Ahmad, Zain Abdullah, Asif, Talha
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
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