Research Programmes
Books
- 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. Springer International Publishing, Switzerland, p. 282. (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.
Journal Special Issues
- Special Issue on Trustworthy Federated Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
- Special Issue on Trustable, Verifiable, and Auditable Federated Learning, IEEE Transactions on Big Data (TBD), 2022.
- Special Issue on Federated Learning: Algorithms, Systems, and Applications, ACM Transactions on Intelligent Systems and Technology (TIST), 2021.
- Special Issue on Federated Machine Learning, IEEE Intelligent Systems (IS), 2019.
Conference Special Tracks
- Special Session on Trustworthy Federated Learning for Multimedia, ICME'23, Brisbane, QN, Australia, 2023.
- "Federated Learning" included as a new keyword in IJCAI'20, Yokohama, Japan, 2020.
- Special Track on Federated Machine Learning, IEEE BigData'19, Los Angeles, CA, USA, 2019.
Workshops
- AI Technology School, 2022, Singapore
- FL-NeurIPS'22, New Orleans, LA, USA
- MBZUAI Workshop on Collaborative Learning: From Theory to Practice, Abu Dhabi, UAE
- Canadian AI Federated Learning Workshop 2022, Toronto, ON, Canada
- FL-IJCAI'22, Vienna, Austria
- FL-AAAI-22, Vancouver, BC, Canada (Virtual)
- FL-NeurIPS'21 (Virtual)
- The Federated Learning Workshop, 2021, Paris, France (Hybrid)
- PDFL-EMNLP'21, Bilbao, Spain (Virtual)
- FTL-IJCAI'21, Montreal, QB, Canada (Virtual)
- DeepIPR-IJCAI'21, Montreal, QB, Canada (Virtual)
- FL-ICML'21 (Virtual)
- RSEML-AAAI-21 (Virtual)
- NeurIPS-SpicyFL'20, Vancouver, BC, Canada (Virtual)
- FL-IJCAI'20, Yokohama, Japan (Virtual)
- FL-ICML'20, Vienna, Austria (Virtual)
- FL-IBM'20, New York, NY, USA
- FL-NeurIPS'19, Vancouver, BC, Canada
- FL-IJCAI'19, Macau
- FL-Google'19, Seattle, WA, USA
Wikipedia
Benchmark Datasets
Tutorials
Standardization Effort
Comics
Youtube Channels
Frameworks
Communities