Data Collaborative Federated Learning for Non-i.i.d Data in Wireless Networks
Author:
Affiliation:
1. University of Science & Technology of China,CAS Key Laboratory of Wireless-Optical Communications,Hefei,P.R. China
Funder
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543252/10543233/10544129.pdf?arnumber=10544129
Reference16 articles.
1. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017
2. Fedcd: Improving performance in non-iid federated learning;Kopparapu,2020
3. Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data
4. Clustered Federated Learning with Model Integration for Non-IID Data in Wireless Networks
5. Federated optimization in heterogeneous networks;Li
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