Personalizing Federated Learning with Over-The-Air Computations
Author:
Affiliation:
1. Singapore University of Technology and Design,Singapore,487372
2. Zhejiang University,ZJU-UIUC Institute,Haining,China,314400
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095533.pdf?arnumber=10095533
Reference22 articles.
1. Over-the-Air Computing for Wireless Data Aggregation in Massive IoT
2. Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control
3. Towards Personalized Federated Learning
4. FedCorr: Multi-Stage Federated Learning for Label Noise Correction
5. Learning multiple layers of features from tiny images;krizhevsky;Tech Rep 0,2009
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1. Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
2. Personalized Over-The-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Federated Learning with Partial Gradients Over-the-Air;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11
4. A Survey on Over-the-Air Computation;IEEE Communications Surveys & Tutorials;2023
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