Resource-Efficient Federated Learning Robust to Communication Errors
Author:
Affiliation:
1. Norwegian University of Science and Technology,Department of Electronic System,Trondheim,Norway
2. Data61, CSIRO,Pullenvale,Australia,QLD 4069
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10207925/10207926/10208024.pdf?arnumber=10208024
Reference27 articles.
1. Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
2. Communication-efficient online federated learning strategies for kernel regression;gogineni;IEEE Internet of Things J,2022
3. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
4. Decentralized Graph Federated Multitask Learning for Streaming Data
5. Mitigating sybils in federated learning poisoning;fung,2018
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1. On The Resilience Of Online Federated Learning To Model Poisoning Attacks Through Partial Sharing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Continual Local Updates for Federated Learning with Enhanced Robustness to Link Noise;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
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