Towards Efficient Federated Learning Framework via Selective Aggregation of Models
Author:
Affiliation:
1. BNRist, Tsinghua University.,Dept. of Electronic Engineering
2. Huawei Technologies,Wireless Technology Laboratory
3. HKUST,Dept. of Electronic and Computer Engineering
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10615255/10615259/10615921.pdf?arnumber=10615921
Reference21 articles.
1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017
2. Advances and Open Problems in Federated Learning
3. The Roadmap to 6G: AI Empowered Wireless Networks
4. Federated Multiagent Actor–Critic Learning for Age Sensitive Mobile-Edge Computing
5. Convergence Analysis and System Design for Federated Learning Over Wireless Networks
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