The Architecture of Computing Power Network Towards Federated Learning: Paradigms and Perspectives
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing,China,100876
2. China Telecom Research Institute,Beijing,China,102209
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10210852/10211094/10211630.pdf?arnumber=10211630
Reference10 articles.
1. Computing power network: The architecture of convergence of computing and networking towards 6G requirement
2. Computing network: a new multi-access edge computing;lei;Telecommunications Science,2019
3. Multi-objective evolutionary federated learning;zhu,2018
4. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
5. Towards federated learning at scale: System design;bonawitz;Proceedings of Machine Learning and Systems,2019
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