Author

Sunil Gupta

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#machine learning Preprint Sep 2026

Similarity-Aware Personalized Federated Learning in Heterogeneous Environments

This work proposes SAPE-FL (Similarity-Aware Personalized Federated Learning), a novel personalization framework that anchors each client's model to both the global model and a similarity-weighted peer averaged model that mitigates negative transfer and enhances robustness in heterogeneous settings.

V. ArunKumarA, Sunil Gupta, Ngyuen Dang et al. · 0 citations