| FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Z Wu, S Sun, Y Wang, M Liu, Q Pan, X Jiang, B Gao 🏆 IEEE TPDS (Top-Cited Paper in TPDS2024, Rank 1/17 in FL, Rank 1/15 in EC), 2024 | 38 | 2024 |
| Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation Z Wu, S Sun, Y Wang, M Liu, Q Pan, J Zhang, Z Li, Q Liu ACM Transactions on Intelligent Systems and Technology, 2024 | 25 | 2024 |
| FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence Z Wu, S Sun, Y Wang, M Liu, K Xu, W Wang, X Jiang, B Gao, J Lu 🏆 IEEE TMC (IEEE Xplore Popular Article, Top 2% in Accepted Papers), 2024 | 22 | 2024 |
| Survey of Knowledge Distillation in Federated Edge Learning Z Wu, S Sun, Y Wang, M Liu, X Jiang, R Li, B Gao arXiv preprint arXiv:2301.05849, 2023 | 15 | 2023 |
| Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration Z Wu, S Sun, Y Wang, M Liu, B Gao, Q Pan, T He, X Jiang 🏆 IEEE INFOCOM (IEEE Xplore Popular Article, Rank 1/256 in Accepted Papers), 2024 | 14 | 2024 |
| Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer Z Wu, Y Jiang, M Zhao, C Cui, Z Yang, X Xue, H Qi International Conference on Knowledge Science, Engineering and Management …, 2021 | 11 | 2021 |
| Federated Skewed Label Learning with Logits Fusion Y Wang, R Li, H Tan, X Jiang, S Sun, M Liu, B Gao, Z Wu arXiv preprint arXiv:2311.08202, 2023 | 9 | 2023 |
| Tackling Noisy Clients in Federated Learning with End-to-end Label Correction X Jiang, S Sun, J Li, J Xue, R Li, Z Wu, G Xu, Y Wang, M Liu ACM International Conference on Information and Knowledge Management, 2024 | 8 | 2024 |
| Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data Z Wu, Y Jiang, C Cui, Z Yang, X Xue, H Qi arXiv preprint arXiv:2103.13733, 2021 | 6 | 2021 |
| Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Z Wu, T He, S Sun, Y Wang, M Liu, B Gao, X Jiang arXiv preprint arXiv:2401.00622, 2024 | 5 | 2024 |
| FedCache 2.0: Federated Edge Learning with Knowledge Caching and Dataset Distillation Q Pan, S Sun, Z Wu, Y Wang, M Liu, B Gao, J Wang arXiv preprint arXiv:2405.13378, 2024 | 4* | 2024 |
| Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff S Sun, Z Zhang, Q Pan, M Liu, Y Wang, T He, Y Chen, Z Wu IEEE Transactions on Mobile Computing, 2024 | 2 | 2024 |
| FNBench: Benchmarking Robust Federated Learning against Noisy Labels X Jiang, J Li, N Wu, Z Wu, X Li, S Sun, G Xu, Y Wang, Q Li, M Liu Authorea Preprints, 2024 | 2 | 2024 |
| RADD: A Real-time and Accurate Method for DDoS Detection Based on In-Network Computing W Wang, S Zhu, Z Wu, L Lu, Z Li, H Yang, Y Zhang ICC 2024-IEEE International Conference on Communications, 2024 | 1 | 2024 |
| Logits Poisoning Attack in Federated Distillation Y Tang, Z Wu, B Gao, T Wen, Y Wang, S Sun International Conference on Knowledge Science, Engineering and Management, 2024 | 1 | 2024 |
| Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates Z Wu, S Sun, Y Wang, M Liu, T Wen, W Wang arXiv preprint arXiv:2312.04166, 2023 | 1 | 2023 |
| NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing Q Ren, W Wang, S Zhu, Z Wu, Y Zhang arXiv preprint arXiv:2501.01187, 2025 | | 2025 |
| Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Z Wu, S Sun, Y Wang, M Liu, K Xu, Q Pan, B Gao, T Wen arXiv preprint arXiv:2501.00693, 2025 | | 2025 |
| Privacy-Preserving Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems Z Wu, S Sun, Y Wang, M Liu, B Gao, T He, W Wang arXiv preprint arXiv:2404.10255, 2024 | | 2024 |
| Peak-Controlled Logits Poisoning Attack in Federated Distillation Y Tang, A Zhang, Z Wu, B Gao, T Wen, Y Wang, S Sun arXiv preprint arXiv:2407.18039, 2024 | | 2024 |