Can hierarchical client clustering mitigate the data heterogeneity effect in federated learning?
Author:
Affiliation:
1. Ajou University,Department of Artificial Intelligence,Suwon,Republic of Korea
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10196463/10196505/10196632.pdf?arnumber=10196632
Reference31 articles.
1. Don’t use large mini-batches, use local sgd;lin;arXiv preprint arXiv 1808 07536,2018
2. Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
3. SCAFFOLD: Stochastic Controlled Averaging for Federated Learning;karimireddy;Proceedings of the 37th International Conference on Machine Learning,2020
4. Federated Learning: Challenges, Methods, and Future Directions
5. Model-Contrastive Federated Learning
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