| Semi-decentralized federated edge learning for fast convergence on non-IID data Y Sun, J Shao, Y Mao, JH Wang, J Zhang 2022 IEEE Wireless Communications and Networking Conference (WCNC), 1898-1903, 2022 | 47 | 2022 |
| DReS-FL: Dropout-resilient secure federated learning for non-iid clients via secret data sharing J Shao, Y Sun, S Li, J Zhang Advances in Neural Information Processing Systems 35, 10533-10545, 2022 | 42 | 2022 |
| Semi-decentralized federated edge learning with data and device heterogeneity Y Sun, J Shao, Y Mao, JH Wang, J Zhang IEEE Transactions on Network and Service Management 20 (2), 1487-1501, 2023 | 31 | 2023 |
| A survey of what to share in federated learning: Perspectives on model utility, privacy leakage, and communication efficiency J Shao, Z Li, W Sun, T Zhou, Y Sun, L Liu, Z Lin, Y Mao, J Zhang arXiv preprint arXiv:2307.10655, 2023 | 27 | 2023 |
| Feature matching data synthesis for non-IID federated learning Z Li, Y Sun, J Shao, Y Mao, JH Wang, J Zhang IEEE Transactions on Mobile Computing 23 (10), 9352-9367, 2024 | 20 | 2024 |
| MimiC: Combating client dropouts in federated learning by mimicking central updates Y Sun, Y Mao, J Zhang IEEE Transactions on Mobile Computing, 2023 | 19 | 2023 |
| Stochastic coded federated learning with convergence and privacy guarantees Y Sun, J Shao, S Li, Y Mao, J Zhang 2022 IEEE International Symposium on Information Theory (ISIT), 2028-2033, 2022 | 19 | 2022 |
| Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning Y Sun, Z Lin, Y Mao, S Jin, J Zhang arXiv preprint arXiv:2305.16854, 2023 | 13 | 2023 |
| Stochastic coded federated learning: Theoretical analysis and incentive mechanism design Y Sun, J Shao, Y Mao, S Li, J Zhang IEEE Transactions on Wireless Communications 23 (6), 6623-6638, 2023 | 11 | 2023 |
| Asynchronous semi-decentralized federated edge learning for heterogeneous clients Y Sun, J Shao, Y Mao, J Zhang ICC 2022-IEEE International Conference on Communications, 5196-5201, 2022 | 6 | 2022 |
| How to collaborate: Towards maximizing the generalization performance in cross-silo federated learning Y Sun, M Kountouris, J Zhang IEEE Transactions on Mobile Computing, 2024 | 4 | 2024 |
| Probabilistic device scheduling for over-the-air federated learning Y Sun, Z Lin, Y Mao, S Jin, J Zhang 2023 IEEE 23rd International Conference on Communication Technology (ICCT …, 2023 | 2 | 2023 |
| Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data X Wang, Y Sun, HT Wai, J Zhang arXiv preprint arXiv:2405.16966, 2024 | 1 | 2024 |
| Learn How to Query from Unlabeled Data Streams in Federated Learning Y Sun, X Li, T Lin, J Zhang AAAI 2025 - The Association for the Advance of Artificial Intelligence, 2024 | | 2024 |
| Exploring Selective Layer Fine-Tuning in Federated Learning Y Sun, Y Xie, B Ding, Y Li, J Zhang arXiv preprint arXiv:2408.15600, 2024 | | 2024 |
| DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning W Sun, S Li, Y Sun, J Zhang arXiv preprint arXiv:2305.01267, 2023 | | 2023 |
Jun ZhangHong Kong University of Science and Technology, IEEE FellowEmail confirmado em ust.hk