Qi-Yun Luo

Distribution-Aware Personalised Aggregation for Federated Deep Learning Under Non-IID Data

DAPA (Distribution-Aware Personalised Aggregation), a personalised federated deep learning framework that adaptively tailors the global aggregation to each client based on inter-client distribution similarity, is proposed and establishes a convergence bound showing that DAPA achieves a tighter error floor than uniform...