TinyFL: A Lightweight Federated Learning Method with Efficient Memory-and-Communication
Author:
Affiliation:
1. School of Electronic Information, Wuhan University,Wuhan,China,430072
2. Shenzhen Research Institute of Big Data,Shenzhen,China,518172
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10464388/10464393/10464633.pdf?arnumber=10464633
Reference15 articles.
1. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
2. One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
3. Data-Quality Based Scheduling for Federated Edge Learning
4. Communication-Efficient Federated Edge Learning for NR-U based IIoT Networks
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