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Jintao Liang

1 accepted papers

2025

Collaborative Personalized Federated Learning via Exponential Moving Average Optimization

ICASSP 2025accepted

Data heterogeneity poses a critical challenge in federated learning, driving the development of personalized client models. However, when each client’s local data is limited and nonindependent and identically distributed (non-IID), previous efforts fail to implement collaborative strategies based on…

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