Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Author:
Affiliation:
1. Electrical Engineering Unit, Tampere University, Tampere, Finland
2. Intel Corporation, Santa Clara, CA, USA
3. Department of Electrical and Computer Engineering and 6GNC, North Carolina State University, Raleigh, NC, USA
Funder
Intel Corporation
National Science Foundation
Academy of Finland under Projects RADIANT, IDEA-MILL, and SOLID
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/26/10153794/10077407-aam.pdf
Reference42 articles.
1. Convergence Time Optimization for Federated Learning Over Wireless Networks
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4. Training (overparametrized) neural networks in near-linear time;van den brand;arXiv 2006 11648,2020
5. Scheduling for Cellular Federated Edge Learning With Importance and Channel Awareness
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