| Lotteryfl: Personalized and communication-efficient federated learning with lottery ticket hypothesis on non-iid datasets A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li arXiv preprint arXiv:2008.03371, 2020 | 173* | 2020 |
| 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 | 164* | 2021 |
| Hermes: an efficient federated learning framework for heterogeneous mobile clients A Li, J Sun, P Li, Y Pu, H Li, Y Chen Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 128 | 2021 |
| 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 | 112 | 2021 |
| Graphfl: A federated learning framework for semi-supervised node classification on graphs B Wang, A Li, M Pang, H Li, Y Chen 2022 IEEE International Conference on Data Mining (ICDM), 498-507, 2022 | 109 | 2022 |
| Deepobfuscator: Obfuscating intermediate representations with privacy-preserving adversarial learning on smartphones A Li, J Guo, H Yang, FD Salim, Y Chen Proceedings of the International Conference on Internet-of-Things Design and …, 2021 | 74* | 2021 |
| 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 | 70 | 2021 |
| 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 | 65 | 2019 |
| 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 | 62 | 2020 |
| 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 | 56 | 2020 |
| 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 | 34 | 2021 |
| 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 | 34 | 2020 |
| Privacy-preserving representation learning on graphs: A mutual information perspective B Wang, J Guo, A Li, Y Chen, H Li Proceedings of the 27th acm sigkdd conference on knowledge discovery & data …, 2021 | 31 | 2021 |
| PrivacyCamera: Cooperative privacy-aware photographing with mobile phones A Li, Q Li, W Gao Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE …, 2016 | 28 | 2016 |
| SecureHouse: A home security system based on smartphone sensors MA Mahler, Q Li, A Li 2017 IEEE International Conference on Pervasive Computing and Communications …, 2017 | 27 | 2017 |
| Efficient, direct, and restricted black-box graph evasion attacks to any-layer graph neural networks via influence function B Wang, M Lin, T Zhou, P Zhou, A Li, M Pang, H Li, Y Chen Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 25 | 2024 |
| 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 | 21 | 2023 |
| Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction J Zhang, A Li, M Tang, J Sun, X Chen, F Zhang, C Chen, Y Chen, H Li International Conference on Machine Learning, 41354-41381, 2023 | 20 | 2023 |
| 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 | 20 | 2022 |
| Privacy-Preserving Multiparty Learning For Logistic Regression W Du, A Li, Q Li arXiv preprint arXiv:1810.02400, 2018 | 20 | 2018 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University在 duke.edu 的电子邮件经过验证
