A Comprehensive Survey on Energy Efficiency in Federated Learning: Strategies and Challenges
Author:
Affiliation:
1. College of Computing and Information Technology, University of Doha for Science and Technology,Qatar
2. Electrical Engineering, Qatar University,Qatar
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10488753/10488737/10488805.pdf?arnumber=10488805
Reference41 articles.
1. Data Augmentation for Intrusion Detection and Classification in Cloud Networks
2. Federated Learning Over Energy Harvesting Wireless Networks
3. A comprehensive survey on client selections in federated learning;Gouissem;arXiv preprint,2023
4. Federated Learning in Mobile Edge Networks: A Comprehensive Survey
5. Federated Machine Learning
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1. Refine and Identify: An Accelerated Iterative Algorithm for Securing Federated Learning;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27
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