Jie Zhang
Cited by
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A survey of incentive mechanism design for federated learning
Y Zhan, J Zhang, Z Hong, L Wu, P Li, S Guo
IEEE Transactions on Emerging Topics in Computing 10 (2), 1035-1044, 2021
Parameterized knowledge transfer for personalized federated learning
J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu
Advances in Neural Information Processing Systems 34, 10092-10104, 2021
Layer-wised model aggregation for personalized federated learning
X Ma, J Zhang, S Guo, W Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Adaptive federated learning on non-iid data with resource constraint
J Zhang, S Guo, Z Qu, D Zeng, Y Zhan, Q Liu, R Akerkar
IEEE Transactions on Computers 71 (7), 1655-1667, 2021
Edge learning: The enabling technology for distributed big data analytics in the edge
J Zhang, Z Qu, C Chen, H Wang, Y Zhan, B Ye, S Guo
ACM Computing Surveys (CSUR) 54 (7), 1-36, 2021
Energy-efficient coordinated multipoint scheduling in green cloud radio access network
D Zeng, J Zhang, L Gu, S Guo, J Luo
IEEE Transactions on Vehicular Technology 67 (10), 9922-9930, 2018
Federated unlearning: Guarantee the right of clients to forget
L Wu, S Guo, J Wang, Z Hong, J Zhang, Y Ding
IEEE Network 36 (5), 129-135, 2022
Joint optimization of virtual function migration and rule update in software defined NFV networks
J Zhang, D Zeng, L Gu, H Yao, M Xiong
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-5, 2017
Dual-view attention networks for single image super-resolution
J Guo, S Ma, J Zhang, Q Zhou, S Guo
Proceedings of the 28th ACM International Conference on Multimedia, 2728-2736, 2020
Take renewable energy into CRAN toward green wireless access networks
D Zeng, J Zhang, S Guo, L Gu, K Wang
IEEE network 31 (4), 62-68, 2017
Adaptive vertical federated learning on unbalanced features
J Zhang, S Guo, Z Qu, D Zeng, H Wang, Q Liu, AY Zomaya
IEEE Transactions on Parallel and Distributed Systems 33 (12), 4006-4018, 2022
Towards data-independent knowledge transfer in model-heterogeneous federated learning
J Zhang, S Guo, J Guo, D Zeng, J Zhou, AY Zomaya
IEEE Transactions on Computers 72 (10), 2888-2901, 2023
Stochastic scheduling towards cost efficient network function virtualization in edge cloud
D Zeng, J Zhang, L Gu, S Guo
2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
X Ma, J Zhang, S Guo, W Xu
Advances in Neural Information Processing Systems 36, 2024
From deterioration to acceleration: A calibration approach to rehabilitating step asynchronism in federated optimization
F Wu, S Guo, H Wang, H Zhang, Z Qu, J Zhang, Z Liu
IEEE Transactions on Parallel and Distributed Systems 34 (5), 1548-1559, 2023
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression
F Wu, S He, S Guo, Z Qu, H Wang, W Zhuang, J Zhang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 193-198, 2022
On rule placement for multi-path routing in software-defined networks
J Zhang, D Zeng, L Gu, H Yao, Y Fan
Collaborative Computing: Networking, Applications, and Worksharing: 11th …, 2016
Towards unbiased training in federated open-world semi-supervised learning
J Zhang, X Ma, S Guo, W Xu
International Conference on Machine Learning, 41498-41509, 2023
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning
Y Liu, S Guo, J Zhang, Q Zhou, Y Wang, X Zhao
arXiv preprint arXiv:2211.07364, 2022
Combating data imbalances in federated semi-supervised learning with dual regulators
S Bai, S Li, W Zhuang, J Zhang, K Yang, J Hou, S Yi, S Zhang, J Gao
Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 10989 …, 2024
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