Pareto: Fair congestion control with online reinforcement learning S Emara, F Wang, B Li, T Zeyl IEEE Transactions on Network Science and Engineering 9 (5), 3731-3748, 2022 | 19 | 2022 |
More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning F Wang, E Hugh, B Li IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023 | 18 | 2023 |
Federated unlearning and its privacy threats F Wang, B Li, B Li IEEE Network 38 (2), 294-300, 2023 | 12 | 2023 |
Plato: An open-source research framework for production federated learning B Li, N Su, C Ying, F Wang Proceedings of the ACM Turing Award Celebration Conference-China 2023, 1-2, 2023 | 8 | 2023 |
Ivory: Learning network adaptive streaming codes S Emara, F Wang, I Kaplan, B Li 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 1-10, 2022 | 5 | 2022 |
Quality-oriented federated learning on the fly F Wang, B Li, B Li IEEE Network 36 (5), 152-159, 2022 | 3 | 2022 |
Method and apparatus for multiple reinforcement learning agents in a shared environment Z Hu, TJ Zeyl, SSHM Emara, B Li, F Wang US Patent App. 17/566,953, 2023 | 1 | 2023 |
Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication F Wang, S Emara, I Kaplan, B Li, T Zeyl ICC 2023-IEEE International Conference on Communications, 1206-1211, 2023 | 1 | 2023 |
Harnessing the Power of Local Supervision in Federated Learning F Wang, B Li IEEE Transactions on Big Data, 2024 | | 2024 |
Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance—A Case Study in Adaptive Bitrate Selection S Emara, D Liu, F Wang, B Li IEEE INFOCOM 2024-IEEE Conference on Computer Communications Workshops …, 2024 | | 2024 |
Data Reconstruction and Protection in Federated Learning for Fine-Tuning Large Language Models F Wang, B Li IEEE Transactions on Big Data, 0 | | |