Author

B. Kumar

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Jul 2026

FedALA-WR: personalized federated learning with adaptive local aggregation and weighted replay

FedALA-WR, a novel framework that integrates adaptive attention-based aggregation with a weighted memory replay mechanism, allowing clients to reinforce valuable past knowledge during local training, consistently outperforms baseline FL and state-of-the-art pFL methods in accuracy and convergence speed.

Tinku Singh, N. Khoa, B. Kumar et al. · Cluster Computing · 0 citations