| Privacy-aware offloading in mobile-edge computing X He, J Liu, R Jin, H Dai GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 108 | 2017 |
| Stochastic-sign SGD for federated learning with theoretical guarantees R Jin, Y Huang, X He, H Dai, T Wu arXiv preprint arXiv:2002.10940, 2020 | 77 | 2020 |
| Deep PDS-learning for privacy-aware offloading in MEC-enabled IoT X He, R Jin, H Dai IEEE Internet of Things Journal 6 (3), 4547-4555, 2018 | 74 | 2018 |
| Physical-layer assisted secure offloading in mobile-edge computing X He, R Jin, H Dai IEEE Transactions on Wireless Communications 19 (6), 4054-4066, 2020 | 57 | 2020 |
| Peace: Privacy-preserving and cost-efficient task offloading for mobile-edge computing X He, R Jin, H Dai IEEE Transactions on Wireless Communications 19 (3), 1814-1824, 2019 | 51 | 2019 |
| Communication efficient federated learning with energy awareness over wireless networks R Jin, X He, H Dai IEEE Transactions on Wireless Communications 21 (7), 5204-5219, 2022 | 41* | 2022 |
| Leveraging spatial diversity for privacy-aware location-based services in mobile networks X He, R Jin, H Dai IEEE Transactions on Information Forensics and Security 13 (6), 1524-1534, 2018 | 41 | 2018 |
| Multi-hop task offloading with on-the-fly computation for multi-UAV remote edge computing X He, R Jin, H Dai IEEE Transactions on Communications 70 (2), 1332-1344, 2021 | 30 | 2021 |
| Physical-layer assisted privacy-preserving offloading in mobile-edge computing X He, R Jin, H Dai ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 25 | 2019 |
| Gradient obfuscation gives a false sense of security in federated learning K Yue, R Jin, CW Wong, D Baron, H Dai 32nd USENIX Security Symposium (USENIX Security 23), 6381-6398, 2023 | 23 | 2023 |
| On the security-privacy tradeoff in collaborative security: A quantitative information flow game perspective R Jin, X He, H Dai IEEE Transactions on Information Forensics and Security 14 (12), 3273-3286, 2019 | 21 | 2019 |
| On the tradeoff between privacy and utility in collaborative intrusion detection systems-a game theoretical approach R Jin, X He, H Dai Proceedings of the Hot Topics in Science of Security: Symposium and Bootcamp …, 2017 | 21 | 2017 |
| Resource constrained vehicular edge federated learning with highly mobile connected vehicles MF Pervej, R Jin, H Dai IEEE Journal on Selected Areas in Communications, 2023 | 17 | 2023 |
| Neural tangent kernel empowered federated learning K Yue, R Jin, R Pilgrim, CW Wong, D Baron, H Dai International Conference on Machine Learning, 25783-25803, 2022 | 15 | 2022 |
| Distributed Byzantine tolerant stochastic gradient descent in the era of big data R Jin, X He, H Dai ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 14 | 2019 |
| Collaborative IDS configuration: A two-layer game-theoretic approach R Jin, X He, H Dai IEEE Transactions on Cognitive Communications and Networking 4 (4), 803-815, 2018 | 12 | 2018 |
| Communication-efficient federated learning via predictive coding K Yue, R Jin, CW Wong, H Dai IEEE Journal of Selected Topics in Signal Processing 16 (3), 369-380, 2022 | 10 | 2022 |
| Joint service placement and resource allocation for multi-UAV collaborative edge computing X He, R Jin, H Dai 2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021 | 10 | 2021 |
| Federated learning via plurality vote K Yue, R Jin, CW Wong, H Dai IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| Delay-optimal coded offloading for distributed edge computing in fading environments X He, T Li, R Jin, H Dai IEEE Transactions on Wireless Communications 21 (12), 10796-10808, 2022 | 9 | 2022 |
Huaiyu DaiProfessor of Electrical and Computer Engineering, NC State University在 ncsu.edu 的电子邮件经过验证
