Lingjuan Lyu
Lingjuan Lyu
Sony AI
Verified email at - Homepage
Cited by
Cited by
Privacy-preserving blockchain-based federated learning for IoT devices
Y Zhao, J Zhao, L Jiang, R Tan, D Niyato, Z Li, L Lyu, Y Liu
IEEE Internet of Things Journal 8 (3), 1817-1829, 2020
Threats to federated learning: A survey
L Lyu, H Yu, Q Yang
FL-IJCAI’20, 2020
PPFA: Privacy preserving fog-enabled aggregation in smart grid
L Lyu, K Nandakumar, B Rubinstein, J Jin, J Bedo, M Palaniswami
IEEE Transactions on Industrial Informatics 14 (8), 3733-3744, 2018
Neural attention distillation: Erasing backdoor triggers from deep neural networks
Y Li, X Lyu, N Koren, L Lyu, B Li, X Ma
ICLR’21, 2021
Local differential privacy-based federated learning for internet of things
Y Zhao, J Zhao, M Yang, T Wang, N Wang, L Lyu, D Niyato, KY Lam
IEEE Internet of Things Journal 8 (11), 8836-8853, 2020
Towards fair and privacy-preserving federated deep models
L Lyu, J Yu, K Nandakumar, Y Li, X Ma, J Jin, H Yu, KS Ng
IEEE Transactions on Parallel and Distributed Systems 31 (11), 2524-2541, 2020
Fedgnn: Federated graph neural network for privacy-preserving recommendation
C Wu, F Wu, Y Cao, L Lyu, Y Huang, X Xie
FL-ICML’21 Oral, 2021
Privacy and robustness in federated learning: Attacks and defenses
L Lyu, H Yu, X Ma, C Chen, L Sun, J Zhao, Q Yang, PS Yu
TNNLS, 2022
Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami
IEEE Internet of Things Journal 4 (5), 1174-1184, 2017
Data poisoning attacks on federated machine learning
G Sun, Y Cong, J Dong, Q Wang, L Lyu, J Liu
IEEE Internet of Things Journal, 2021
Collaborative fairness in federated learning
L Lyu, X Xu, Q Wang, H Yu
Federated Learning: Privacy and Incentive, 189-204, 2020
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Y Li, X Lyu, N Koren, L Lyu, B Li, X Ma
NeurIPS’21, 2021
Local differential privacy and its applications: A comprehensive survey
M Yang, L Lyu, J Zhao, T Zhu, KY Lam
arXiv preprint arXiv:2008.03686, 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
J Zhou, C Chen, L Zheng, H Wu, J Wu, X Zheng, B Wu, L Lyu, Z Liu, ...
IJCAI'22, 2022
Communication-efficient federated learning via knowledge distillation
C Wu, F Wu, L Lyu, Y Huang, X Xie
Nature communications 13 (1), 2032, 2022
Federated model distillation with noise-free differential privacy
L Sun, L Lyu
IJCAI’21, 2020
Privacy-preserving collaborative deep learning with application to human activity recognition
L Lyu, X He, YW Law, M Palaniswami
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Threats to federated learning
L Lyu, H Yu, J Zhao, Q Yang
Federated Learning, 3-16, 2020
FLEAM: A federated learning empowered architecture to mitigate DDoS in industrial IoT
J Li, L Lyu, X Liu, X Zhang, X Lyu
IEEE Transactions on Industrial Informatics 18 (6), 4059-4068, 2021
Fog-embedded deep learning for the Internet of Things
L Lyu, JC Bezdek, X He, J Jin
IEEE Transactions on Industrial Informatics 15 (7), 4206-4215, 2019
The system can't perform the operation now. Try again later.
Articles 1–20