Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices
Author:
Affiliation:
1. Ss. Cyril and Methodius University,Faculty of Electrical Engineering and Information Technologies,Skopje,R. North Macedonia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10599852/10599895/10599904.pdf?arnumber=10599904
Reference19 articles.
1. Communication-Efficient Distributed Learning: An Overview
2. Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning
3. Distributed learning of deep neural network over multiple agents
4. Split learning for collaborative deep learning in healthcare;Poirot
5. Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation
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