Topology Design and Graph Embedding for Decentralized Federated Learning
Author:
Affiliation:
1. Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA,19122
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/9195266/10601660/10601665.pdf?arnumber=10601665
Reference44 articles.
1. Federatedx learning: Strategies for improving communication efficiency;Konečný;arXiv preprint,2016
2. Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent;Lian;arXiv preprint,2017
3. 5G D2D Networks: Techniques, Challenges, and Future Prospects
4. Decentralized learning works: An empirical comparison of gossip learning and federated learning
5. Optimal algorithms for smooth and strongly convex distributed optimization in networks;Seaman
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