Tao Shen

Consensus Memory Alignment for Effective Knowledge Transfer in Personalized Federated Learning

Personalized Federated Learning (PFL) addresses performance degradation in non-IID settings by preserving personalized local models. However, the inherent reinitialization of local models in each communication round weakens cross-client knowledge transfer, which disrupts the balance between global and local knowledge....