Bottlenet++: An end-to-end approach for feature compression in device-edge co-inference systems J Shao, J Zhang 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 82 | 2020 |
Communication-computation trade-off in resource-constrained edge inference J Shao, J Zhang IEEE Communications Magazine 58 (12), 20-26, 2020 | 52 | 2020 |
Learning task-oriented communication for edge inference: An information bottleneck approach J Shao, Y Mao, J Zhang IEEE Journal on Selected Areas in Communications 40 (1), 197-211, 2021 | 44 | 2021 |
Task-oriented communication for multi-device cooperative edge inference J Shao, Y Mao, J Zhang IEEE Transactions on Wireless Communications, 2022 | 15 | 2022 |
Branchy-GNN: A device-edge co-inference framework for efficient point cloud processing J Shao, H Zhang, Y Mao, J Zhang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 15 | 2021 |
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 | 11 | 2022 |
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 | 4 | 2022 |
Dres-fl: Dropout-resilient secure federated learning for non-iid clients via secret data sharing J Shao, Y Sun, S Li, J Zhang arXiv preprint arXiv:2210.02680, 2022 | 2 | 2022 |
Federated learning with gan-based data synthesis for non-iid clients Z Li, J Shao, Y Mao, JH Wang, J Zhang arXiv preprint arXiv:2206.05507, 2022 | 2 | 2022 |
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity Y Sun, J Shao, Y Mao, JH Wang, J Zhang arXiv preprint arXiv:2112.10313, 2021 | 2 | 2021 |
Communication-computation efficient device-edge co-inference via AutoML X Zhang, J Shao, Y Mao, J Zhang 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 2 | 2021 |
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 | 1 | 2022 |
LDMIC: Learning-based Distributed Multi-view Image Coding X Zhang, J Shao, J Zhang arXiv preprint arXiv:2301.09799, 2023 | | 2023 |
Task-Oriented Communication for Edge Video Analytics J Shao, X Zhang, J Zhang arXiv preprint arXiv:2211.14049, 2022 | | 2022 |
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design Y Sun, J Shao, Y Mao, S Li, J Zhang arXiv preprint arXiv:2211.04132, 2022 | | 2022 |