FEEL: Federated End-to-End Learning with Non-IID Data for Vehicular Ad Hoc Networks B Li, Y Jiang, Q Pei, T Li, L Liu, R Lu IEEE Transactions on Intelligent Transportation Systems 23 (9), 16728-16740, 2022 | 27 | 2022 |
FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks B Li, Y Jiang, W Sun, W Niu, P Wang 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 18 | 2021 |
Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach B Li, P Wang, Z Shao, A Liu, Y Jiang, Y Li Future Generation Computer Systems 147, 136-148, 2023 | 6 | 2023 |
Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming Y Jiang, X Shen, R Wen, Z Sha, J Chu, Y Liu, M Backes, Y Zhang Proceedings of the International AAAI Conference on Web and Social Media 18 …, 2024 | 3 | 2024 |
Incentive and Knowledge Distillation Based Federated Learning for Cross-silo Applications B Li, Y Shi, Y Guo, Q Kong, Y Jiang IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 3 | 2022 |
FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning B Li, P Wang, H Huang, S Ma, Y Jiang 2021 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2021 | 3 | 2021 |
: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities Y Jiang, Z Li, X Shen, Y Liu, M Backes, Y Zhang arXiv preprint arXiv:2410.06967, 2024 | 2 | 2024 |
Feder: communication-efficient byzantine-robust federated learning Y Jiang, X Gao, H Chen, NZ Gong ICLR Workshop on Socially Responsible Machine Learning (SRML),, 2022 | | 2022 |