More Communication Does Not Result in Smaller Generalization Error in Federated Learning
Author:
Affiliation:
1. Huawei Paris Research Center,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206493.pdf?arnumber=10206493
Reference23 articles.
1. Federated Learning With Differential Privacy: Algorithms and Performance Analysis
2. In-network Learning for Distributed Training and Inference in Networks
3. Three factors influencing minima in sgd;jastrzebski,2017
4. A survey on security and privacy of federated learning
5. A Hybrid Approach to Privacy-Preserving Federated Learning
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1. Federated PAC-Bayesian Learning on Non-IID Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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