Evaluating the Communication Efficiency in Federated Learning Algorithms
Author:
Funder
Grant-in-Aid for Scientific Research [KAKENHI Young Researcher]
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9437608/9437628/09437738.pdf?arnumber=9437738
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1. Federated Learning Security and Privacy-Preserving Algorithm and Experiments Research Under Internet of Things Critical Infrastructure;Tsinghua Science and Technology;2024-04
2. Federated Learning: Centralized and P2P for a Siamese Deep Learning Model for Diabetes Foot Ulcer Classification;Applied Sciences;2023-11-28
3. A systematic review of federated learning: Challenges, aggregation methods, and development tools;Journal of Network and Computer Applications;2023-11
4. Heterogeneous Federated Learning: State-of-the-art and Research Challenges;ACM Computing Surveys;2023-10-21
5. FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21
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