Artykuły udostępnione publicznie: - ANG LIWięcej informacji
Niedostępne w żadnym miejscu: 9
Joint traffic control and multi-channel reassignment for core backbone network in SDN-IoT: a multi-agent deep reinforcement learning approach
T Wu, P Zhou, B Wang, A Li, X Tang, Z Xu, K Chen, X Ding
IEEE Transactions on Network Science and Engineering 8 (1), 231-245, 2020
Upoważnienia: National Natural Science Foundation of China
Approximate to be great: Communication efficient and privacy-preserving large-scale distributed deep learning in Internet of Things
W Du, A Li, P Zhou, Z Xu, X Wang, H Jiang, D Wu
IEEE internet of things Journal 7 (12), 11678-11692, 2020
Upoważnienia: National Natural Science Foundation of China
The QoS and privacy trade-off of adversarial deep learning: an evolutionary game approach
Z Sun, L Yin, C Li, W Zhang, A Li, Z Tian
Computers & Security 96, 101876, 2020
Upoważnienia: National Natural Science Foundation of China
Privacyeye: A privacy-preserving and computationally efficient deep learning-based mobile video analytics system
W Du, A Li, P Zhou, B Niu, D Wu
IEEE Transactions on Mobile Computing 21 (9), 3263-3279, 2021
Upoważnienia: National Natural Science Foundation of China
A framework to preserve user privacy for machine learning as a service
B Niu, L Zhang, Y Chen, A Li, W Du, J Cao, F Li
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
δ-Calculus: A New Approach to Quantifying Location Privacy.
L Yin, R Li, J Ding, X Li, Y Guo, H Zhang, A Li
Computers, Materials & Continua 63 (3), 2020
Upoważnienia: National Natural Science Foundation of China
Task-agnostic privacy-preserving representation learning via federated learning
A Li, H Yang, Y Chen
Federated Learning: Privacy and Incentive, 51-65, 2020
Upoważnienia: US National Science Foundation
SmartCircles: A Benefit-Evaluation-Based Privacy Policy Recommender for Customized Photo Sharing
H Luo, Z Sun, Y Sun, A Li, B Wang, J Cao, B Niu
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022
Upoważnienia: National Natural Science Foundation of China
Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse
C Wu, A Li, B Li, Y Chen
2019 IEEE International Workshop on Signal Processing Systems (SiPS), 109-114, 2019
Upoważnienia: US National Science Foundation
Dostępne w jakimś miejscu: 23
Soteria: Provable defense against privacy leakage in federated learning from representation perspective
J Sun, A Li, B Wang, H Yang, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
Fedmask: Joint computation and communication-efficient personalized federated learning via heterogeneous masking
A Li, J Sun, X Zeng, M Zhang, H Li, Y Chen
Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021
Upoważnienia: US National Science Foundation
Fl-wbc: Enhancing robustness against model poisoning attacks in federated learning from a client perspective
J Sun, A Li, L DiValentin, A Hassanzadeh, Y Chen, H Li
Advances in neural information processing systems 34, 12613-12624, 2021
Upoważnienia: US National Science Foundation
Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification
H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Upoważnienia: US National Science Foundation, US Department of Energy
Hideme: Privacy-preserving photo sharing on social networks
F Li, Z Sun, A Li, B Niu, H Li, G Cao
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 154-162, 2019
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
TIPRDC: task-independent privacy-respecting data crowdsourcing framework for deep learning with anonymized intermediate representations
A Li, Y Duan, H Yang, Y Chen, J Yang
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
Upoważnienia: US National Science Foundation
Autofed: Heterogeneity-aware federated multimodal learning for robust autonomous driving
T Zheng, A Li, Z Chen, H Wang, J Luo
Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023
Upoważnienia: National Research Foundation, Singapore
Tprune: Efficient transformer pruning for mobile devices
J Mao, H Yang, A Li, H Li, Y Chen
ACM Transactions on Cyber-Physical Systems 5 (3), 1-22, 2021
Upoważnienia: US National Science Foundation
FedSEA: A semi-asynchronous federated learning framework for extremely heterogeneous devices
J Sun, A Li, L Duan, S Alam, X Deng, X Guo, H Wang, M Gorlatova, ...
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022
Upoważnienia: US National Science Foundation
PrivacyCamera: Cooperative privacy-aware photographing with mobile phones
A Li, Q Li, W Gao
Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE …, 2016
Upoważnienia: US National Science Foundation
Rethinking normalization methods in federated learning
Z Du, J Sun, A Li, PY Chen, J Zhang, HH Li, Y Chen
Proceedings of the 3rd International Workshop on Distributed Machine …, 2022
Upoważnienia: US National Science Foundation
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