| A survey on federated learning systems: Vision, hype and reality for data privacy and protection Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu, B He IEEE Transactions on Knowledge and Data Engineering 35 (4), 3347-3366, 2021 | 853 | 2021 |
| The oarf benchmark suite: Characterization and implications for federated learning systems S Hu, Y Li, X Liu, Q Li, Z Wu, B He ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-32, 2022 | 47 | 2022 |
| A Survey on Federated Learning Systems: Vision Q Li, Z Wen, Z Wu, S Hu, N Wang, B He Hype and Reality for Data Privacy and Protection, 2019 | 20 | 2019 |
| A survey on federated learning systems: Vision, hype and reality for data privacy and protection. arXiv 2019 Q Li, Z Wen, Z Wu, S Hu, N Wang, B He arXiv preprint arXiv:1907.09693, 0 | 15 | |
| Bingsheng He Q Li, Z Wen, Z Wu, S Hu, N Wang, Y Li, X Liu A survey on federated learning systems: Vision, hype and reality for data …, 2019 | 5 | 2019 |
| Communication-Efficient Generalized Neuron Matching for Federated Learning S Hu, Q Li, B He Proceedings of the 52nd International Conference on Parallel Processing, 254-263, 2023 | | 2023 |
