Author

S. Oyyathevan

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Jul 2026

FedAli-PHAR: personalized federated learning with optimal transport-based prototype alignment for robust human activity recognition in pervasive computing

FedAli-PHAR is proposed, a novel personalized federated learning framework that extends the Alignment with Prototypes (ALP) layer using optimal transport (Sinkhorn-Knopp algorithm) to align embeddings with learnable local and global prototypes.

R. Satheeskumar, S. Oyyathevan, J. Thimmiaraja et al. · CCF Transactions on Pervasiv... · 0 citations