Minimizing Energy Consumption for Decentralized Federated Learning Using D2D Communications
Author:
Affiliation:
1. University of Toronto,Department of Electrical and Computer Engineering,Toronto,Canada
2. School of Engineering, University of British Columbia,Kelowna,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199114/10199145/10199618.pdf?arnumber=10199618
Reference15 articles.
1. Coordinated Scheduling and Power Control in Cloud-Radio Access Networks
2. Decentralized Aggregation for Energy-Efficient Federated Learning via D2D Communications
3. Completion Delay Minimization for Instantly Decodable Network Codes
4. A Low-Complexity Multicast Scheduling for D2D-Aided F-RANs Using Network Coding
5. Semi-decentralized federated learning with cooperative D2D local model aggregations;frank;IEEE J Sel Areas Commun,2021
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