In this webportal, we keep track of books, workshops, conference special tracks, journal special issues, standardization effort and other notable events related to the field of Federated Learning (FL).

Research Programmes

• Trustworthy Federated Ubiquitous Learning (TrustFUL) Research Lab, Funded by: AISG, Hosted by: Nanyang Technological University (NTU), Singapore.
• Toward Trustable Model-centric Sharing for Collaborative Machine Learning, Funded by: AISG, Hosted by: National University of Singapore (NUS), Singapore.

Books

• Yu, H., Li, X., Xu, Z., Goebel, R. & King, I. (Eds.). (2025). Federated Learning in the Age of Foundation Models. Lecture Notes in Artificial Intelligence, vol. 15501, p. 182. Springer, Cham.
• Goebel, R., Yu, H., Faltings, B., Fan, L. & Xiong, Z. (Eds.). (2023). Trustworthy Federated Learning. Lecture Notes in Artificial Intelligence, vol. 13448, p. 158. Springer, Cham.
• 杨强、黄安埠、刘洋、陈天健 《联邦学习实战》 电子工业出版社, p. 340 (2021).
• Yang, Q., Fan, L. & Yu, H. (Eds.). (2020). Federated Learning: Privacy and Incentive. Lecture Notes in Computer Science, vol. 12500, p. 282. Springer, Cham. (Google Scholar)
• 杨强、刘洋、程勇、 康炎、陈天健、于涵 《联邦学习》 电子工业出版社, p. 208 (2020).
• Yang, Q., Liu, Y., Cheng, Y., Kang, Y., Chen, T. & Yu, H. (2020). Federated Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer, Cham, p. 189.

Upcoming Special Issues/Sessions

• Special Session on Trustworthy Federated Learning for Multimedia, the 2025 International Conference on Multimedia and Expo (ICME'25), Nantes, France, 2025.
• Special Issue on Trustworthy Federated Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

Workshops

1. FL-AsiaCCS'26, Bangalore, India
2. FL@FM-TheWebConf'26, Dubai, UAE
3. DeCaF'25, Daejeon, South Korea
4. FedGenAI-IJCAI'25, Montreal, QC, Canada
5. FL-AsiaCCS'25, Hanoi, Vietnam
6. CFAgentic@ICML'25, Vancouver, BC, Canada
7. FL@FM-TheWebConf'25, Sydney, Australia
8. FL@FM-NeurIPS'24, Vancouver, BC, Canada
9. FL@FM-AJCAI'24, Melbourne, Australia
10. FL@FM-IJCAI'24, Jeju Island, South Korea
11. FL@FM-ICME'24, Niagara Falls, ON, Canada
12. FL@FM-TheWebConf'24, Singapore
13. FL@FM-Singapore'24, Singapore
14. Flower AI Summit 2024, London, UK
15. FL@FM-NeurIPS'23, New Orleans, LA, USA
16. 2nd MBZUAI Workshop on Collaborative Learning: Empowering Sustainable Futures, Abu Dhabi, UAE
17. FL@FM-AJCAI'23, Brisbane, Australia
18. FL-IJCAI'23, Macau
19. FL-KDD'23, Long Beach, CA, USA
20. FL-ICML'23, Honolulu, HI, USA
21. FLIRT-SIGIR'23, Taipei, Taiwan
22. FLSys'23, Miami, FL, USA
23. FLW@TheWebConf'23, Austin, TX, USA
24. AI Technology School, 2022, Singapore
25. FL-NeurIPS'22, New Orleans, LA, USA
26. 1st MBZUAI Workshop on Collaborative Learning: From Theory to Practice, Abu Dhabi, UAE
27. Canadian AI Federated Learning Workshop 2022, Toronto, ON, Canada
28. FL-IJCAI'22, Vienna, Austria
29. FL-AAAI-22, Vancouver, BC, Canada (Virtual)
30. FL-NeurIPS'21 (Virtual)
31. The Federated Learning Workshop, 2021, Paris, France (Hybrid)
32. PDFL-EMNLP'21, Bilbao, Spain (Virtual)
33. FTL-IJCAI'21, Montreal, QC, Canada (Virtual)
34. DeepIPR-IJCAI'21, Montreal, QC, Canada (Virtual)
35. FL-ICML'21 (Virtual)
36. RSEML-AAAI-21 (Virtual)
37. NeurIPS-SpicyFL'20, Vancouver, BC, Canada (Virtual)
38. FL-IJCAI'20, Yokohama, Japan (Virtual)
39. FL-ICML'20, Vienna, Austria (Virtual)
40. FL-IBM'20, New York, NY, USA
41. FL-NeurIPS'19, Vancouver, BC, Canada
42. FL-IJCAI'19, Macau
43. FL-Google'19, Seattle, WA, USA

Wikipedia

• Federated Learning

Benchmark Datasets

• Flower Datasets
• Federated AI Dataset
• LEAF

Tutorials

• Federated Learning Playground
• Federated Learning on MNIST using a CNN, AI6101, 2020 (Watch Demo Video)
• Federated Learning: User Privacy, Data Security and Confidentiality in Machine Learning, AAAI-19, Honolulu, HI, USA

Standardization Effort

• IEEE P3652.1 Federated Machine Learning Working Group

Comics

• Federated Learning - An Online Comic from Google AI

Youtube Channels

• Flower Labs
• Federated AI

Frameworks

• Flower
• Federated AI Technology Enabler (FATE)
• Tensorflow Federated
• FedML: A Research Library and Benchmark for Federated Machine Learning
• IBM Federated Learning Framework
• Fedlearner^TM
• FederatedScope

Communities

• Federated AI Ecosystem