| Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing Z Yu, Y Gong, S Gong, Y Guo IEEE Internet of Things Journal, 2019 | 411 | 2019 |
| Personalized federated learning with differential privacy R Hu, Y Guo, H Li, Q Pei, Y Gong IEEE Internet of Things Journal 7 (10), 9530-9539, 2020 | 310 | 2020 |
| DP-ADMM: ADMM-based Distributed Learning with Differential Privacy Z Huang, R Hu, Y Guo, E Chan-Tin, Y Gong IEEE Transactions on Information Forensics and Security (TIFS), 2019 | 221 | 2019 |
| A privacy-preserving scheme for incentive-based demand response in the smart grid Y Gong, Y Cai, Y Guo, Y Fang IEEE Transactions on Smart Grid 7 (3), 1304-1313, 2015 | 221 | 2015 |
| Energy and network aware workload management for sustainable data centers with thermal storage Y Guo, Y Gong, Y Fang, PP Khargonekar, X Geng IEEE Transactions on Parallel and Distributed Systems 25 (8), 2030-2042, 2013 | 160 | 2013 |
| Protecting location privacy for task allocation in ad hoc mobile cloud computing Y Gong, C Zhang, Y Fang, J Sun IEEE Transactions on Emerging Topics in Computing 6 (1), 110-121, 2015 | 98 | 2015 |
| Optimal task recommendation for mobile crowdsourcing with privacy control Y Gong, L Wei, Y Guo, C Zhang, Y Fang IEEE Internet of Things Journal 3 (5), 745-756, 2015 | 85 | 2015 |
| Trading data for learning: Incentive mechanism for on-device federated learning R Hu, Y Gong GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 83 | 2020 |
| Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization R Hu, Y Gong, Y Guo Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 78* | 2021 |
| Emerging artificial intelligence–empowered mhealth: scoping review P Bhatt, J Liu, Y Gong, J Wang, Y Guo JMIR mHealth and uHealth 10 (6), e35053, 2022 | 65 | 2022 |
| Federated learning with sparsified model perturbation: Improving accuracy under client-level differential privacy R Hu, Y Guo, Y Gong IEEE Transactions on Mobile Computing, 2023 | 64 | 2023 |
| Hybrid local SGD for federated learning with heterogeneous communications Y Guo, Y Sun, R Hu, Y Gong International conference on learning representations, 2022 | 48 | 2022 |
| Private data analytics on biomedical sensing data via distributed computation Y Gong, Y Fang, Y Guo IEEE/ACM transactions on computational biology and bioinformatics 13 (3 …, 2016 | 46 | 2016 |
| Targeted Poisoning Attacks on Social Recommender Systems R Hu, Y Guo, M Pan, Y Gong GLOBECOM 2019-2019 IEEE Global Communications Conference, 1-6, 2019 | 44 | 2019 |
| SAFE: Secure appliance scheduling for flexible and efficient energy consumption for smart home IoT SM Errapotu, J Wang, Y Gong, JH Cho, M Pan, Z Han IEEE Internet of Things Journal 5 (6), 4380-4391, 2018 | 36 | 2018 |
| Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation SY Yeh, YG Hsieh, Z Gao, BBW Yang, G Oh, Y Gong International Conference on Learning Representations (ICLR), 2023 | 32 | 2023 |
| Scalable and low-latency federated learning with cooperative mobile edge networking Z Zhang, Z Gao, Y Guo, Y Gong IEEE Transactions on Mobile Computing 23 (1), 812-822, 2022 | 32 | 2022 |
| Stochastic ADMM based distributed machine learning with differential privacy J Ding, SM Errapotu, H Zhang, Y Gong, M Pan, Z Han Security and Privacy in Communication Networks: 15th EAI International …, 2019 | 32 | 2019 |
| Practical collaborative learning for crowdsensing in the internet of things with differential privacy Y Guo, Y Gong 2018 IEEE Conference on Communications and Network Security (CNS), 1-9, 2018 | 31 | 2018 |
| Concentrated differentially private federated learning with performance analysis R Hu, Y Guo, Y Gong IEEE Open Journal of the Computer Society 2, 276-289, 2021 | 30 | 2021 |
Rui HuUniversity of Nevada, RenoE-mail confirmado em unr.edu