Progress
Federated Learning
1. (Konečný et al. 16) Federated Optimization: Distributed Machine Learning for On-Device Intelligence, arXiv Preprint, 2016
2. (Konečný et al. 16) Federated Learning: Strategies for Improving Communication Efficiency, NIPS Workshop on Private Multi-Party Machine Learning 2016.
3. (McMahan et al. 17) Communication-Efficient Learning of Deep Networks from Decentralized Data
4. (Rothchild et al. 20) FetchSGD: Communication-Efficient Federated Learning with Sketching, ICML 2020.
5. (Pathak and Wainwright 20) FedSplit: An Algorithmic Framework for Fast Federated Optimization, NeurIPS 2020.
Interesting, new or recommended papers
6. (Pathak and Wainwright 20) FedSplit: An Algorithmic Framework for Fast Federated Optimization, NeurIPS 2020.
7. (Pathak and Wainwright 20) FedSplit: An Algorithmic Framework for Fast Federated Optimization, NeurIPS 2020.
8. (Pathak and Wainwright 20) FedSplit: An Algorithmic Framework for Fast Federated Optimization, NeurIPS 2020.