会议论文

英文

2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2161-4393

2022

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / IEEE World Congress on Computational Intelligence (IEEE WCCI) / International Joint Conference on Neural Networks (IJCNN) / IEEE Congress on Evolutionary Computation (IEEE CEC)

IEEE International Joint Conference on Neural Networks (IJCNN)

JUL 18-23, 2022

Padua, ITALY

[Bai, Jun;Sajjanhar, Atul;Xiang, Yong] Deakin Univ, Sch Informat Technol, Geelong, Vic, Australia.^[Tong, Xiaojun] Wuhan Text Univ, Sch Comp Sci & Artificial Intelligence, Wuhan, Peoples R China.^[Zeng, Shan] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Peoples R China.

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-7281-8671-9

10.1109/IJCNN55064.2022.9892851

Australian Research Council [DP220100983]

本校为其他机构

Federated Learning (FL) offers a novel distributed machine learning context whereby a global model is collaboratively learned through edge devices without violating data privacy. However, intrinsic data heterogeneity in the federated network can induce model heterogeneity, thus posing a great challenge to the server-side model aggregation performance. Existing FL algorithms widely adopt model-wise weighted averaging for client models to generate the new global model, which emphasizes the importance of the holistic model but ignores the importance of distinctions between internal parameters of ...