FL_articles

This is a repository of classic articles about federated learning that I have summarized myself, including article addresses and personal reading summaries. This repository will continue to be updated in the future...

And welcome to communicate with me!! 😁

Papers:

1. Communication-efficient learning of deep networks from decentralized data---Notes: Zhihu
2. Tifl: A tier-based federated learning system---Notes: Zhihu
3. Towards federated learning at scale: System design---Notes: Zhihu
4. Optimizing federated learning on non-iid data with reinforcement learning---Notes: Zhihu
5. AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning---Notes: Zhihu
6. FedMD: Heterogenous Federated Learning via Model Distillation---Notes: Zhihu
7. Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks---Notes: Zhihu
8. Context-Aware Online Client Selection for Hierarchical Federated Learning---Notes: Zhihu
9. FedMes: Speeding Up Federated Learning With Multiple Edge Servers---Notes: Zhihu
10. Federated learning with hierarchical clustering of local updates to improve training on non-IID data---Notes: Zhihu
11. Dubhe- Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection---Notes: Zhihu
12. Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT---Notes: Zhihu
13. FedProto: Federated Prototype Learning across Heterogeneous Clients---Notes: Zhihu
14. DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training---Notes: Zhihu
15. DistFL: Distribution-aware Federated Learning for Mobile Scenarios---Notes: Zhihu
16. A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning---Notes: Zhihu
17. FHDnn: Communication Efficient and Robust Federated Learning for AIoT Networks---Notes: Zhihu
18. Aergia: Leveraging Heterogeneity in Federated Learning Systems---Notes: Zhihu