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 Transactions on Parallel and Distributed Systems, 2024 | 18 | 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 | 14 | 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 Transactions on Mobile Computing, 2024 | 12 | 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 | 11 | 2023 |
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 | 9 | 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 | 4 | 2023 |
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 | 4 | 2021 |
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 2024-IEEE Conference on Computer Communications, 2024 | 2 | 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 |
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 | | 2024 |
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning Q Pan, S Sun, Z Wu, Y Wang, M Liu, B Gao arXiv preprint arXiv:2405.13378, 2024 | | 2024 |
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 |
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 | | 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 | | 2024 |
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 | | 2024 |
The Three Essences of Academic Innovation: Direction, Methodology, and Attitude Z Wu, Y Wang, S Sun, T Wen | | 2023 |
Activation Map Adaptation Model for Knowledge Distillation Z Wu, H Qi, Y Jiang, C Cui, Z Yang, X Xue Journal of Jilin University (Science Edition) 60 (4), 2022 | | 2022 |