随笔分类 -  联邦学习隐私

【五期伍捷威】CCF-A（AAAI'20)Federated Learning for Vision-and-Language Grounding Problems
摘要：Li, Li, et al. "A review of applications in federated learning." Computers & Industrial Engineering 149 (2020): 106854.CCF-A(AAAI'20） 本论文提出了一种联邦学习框架，可 阅读全文
posted @ 2022-11-25 22:26 方班隐私保护小组 阅读(63) 评论(0) 推荐(0) 编辑
【五期-伍捷威】CCF-A（KDD'22）FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks
摘要：Jiayi Chen and Aidong Zhang. 2022. FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. In Proceedings of t 阅读全文
posted @ 2022-11-10 22:51 方班隐私保护小组 阅读(216) 评论(0) 推荐(0) 编辑
【孙哲】CCF-A, （TPDS'20）Towards Fair and Privacy-Preserving Federated Deep Models
摘要：Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, and Kee Siong Ng. Towards Fair and Privacy-Preserving Federa 阅读全文
posted @ 2022-10-12 16:42 方班隐私保护小组 阅读(119) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-A(USENIX SS'20)Local model poisoning attacks to Byzantine-robust federated learning.
摘要：M. Fang, X. Cao, J. Jia, & N. Gong, N. “Local model poisoning attacks to Byzantine-robust federated learning,” in 29th {USENIX} Security Symposium ({U 阅读全文
posted @ 2020-11-27 14:26 方班隐私保护小组 阅读(87) 评论(0) 推荐(0) 编辑
【三期操志强】CCF-C(AISTATS'20)How to backdoor federated learning.
摘要：E. Bagdasaryan, A. Veit, Y. Hua, D. Estrin, & V. Shmatikov, “How to backdoor federated learning,” in International Conference on Artificial Intelligen 阅读全文
posted @ 2020-11-20 08:29 方班隐私保护小组 阅读(71) 评论(0) 推荐(0) 编辑
【三期林思昕】CCF-C(AISTATS'17)Communication-Efficient Learning of Deep Networks from Decentralized Data
摘要：McMahan, Brendan, et al. "Communication-efficient learning of deep networks from decentralized data." Artificial Intelligence and Statistics. PMLR, 20 阅读全文
posted @ 2020-11-13 14:17 方班隐私保护小组 阅读(39) 评论(0) 推荐(0) 编辑
【三期林思昕】CCF-B(Information Sciences'20)A training-integrity privacy-preserving federated learning scheme with trusted execution environment
摘要：Chen, Yu, et al. "A training-integrity privacy-preserving federated learning scheme with trusted execution environment." Information Sciences 522 (202 阅读全文
posted @ 2020-11-13 14:12 方班隐私保护小组 阅读(37) 评论(0) 推荐(0) 编辑
【三期胡宇】CCF-A(INFOCOM'19) Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
摘要：Wang, Zhibo, et al. "Beyond inferring class representatives: User-level privacy leakage from federated learning." IEEE INFOCOM 2019-IEEE Conference on 阅读全文
posted @ 2020-11-01 21:17 方班隐私保护小组 阅读(69) 评论(0) 推荐(0) 编辑
【三期胡宇】CCF-A(TIFS'20)Federated Learning with Differential Privacy: Algorithms and Performance Analysis
摘要：Kang Wei, ,Jun Li, Ming Ding, Chuan Ma, Howard H. Yang, Farhad Farokhi, Shi Jin, Tony Q. S. Quek and H. Vincent Poor, “Federated Learning with Differe 阅读全文
posted @ 2020-11-01 20:41 方班隐私保护小组 阅读(294) 评论(0) 推荐(0) 编辑

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