Federated Learning: Challenges, Methods, and Future Directions

By Pushpa Singh, M. Singh, R. Singh, Narendra Singh. 2022

Subfields: Federated & Distributed Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Federated & Distributed Learning

1. Qiang Yang
2. Jianyu Wang
3. Martin Jaggi
4. Gauri Joshi
5. Jakub Konecný
6. Yang Liu
7. Chaoyang He
8. Zachary B. Charles

Citations in the corpus

• Advances and Open Problems in Federated Learning (2019, background): “[262] independently released an excellent but less comprehensive survey.”
• A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection (2019, unknown): “[109] summarize challenges and future directions of FL in massive networks of mobile and edge devices.”