摘要: Nagalapatti, Lokesh , and R. Narayanam . "Game of Gradients: Mitigating Irrelevant Clients in Federated Learning." (2021). 针对联邦学习中相关客户端选择(FRCS)的问题,a56爆大奖在线娱乐提 阅读全文
posted @ 2024-01-13 14:16 方班隐私保护小组 阅读(29) 评论(0) 推荐(0) 编辑
摘要: Zafari, Faheem , et al. "A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds." (2018). 为了缓解移动边缘计算中资源稀缺问 阅读全文
posted @ 2024-01-10 12:23 方班隐私保护小组 阅读(21) 评论(1) 推荐(1) 编辑
摘要: Peng Wu, Fengen Li, Jie Zhao, et al. Consensus Reaching Process With Multiobjective Optimization for Large-Scale Group Decision Making With Cooperativ 阅读全文
posted @ 2023-12-29 20:55 方班隐私保护小组 阅读(13) 评论(0) 推荐(0) 编辑
摘要: Walmer M, Sikka K, Sur I, et al. Dual-Key Multimodal Backdoors for Visual Question Answering[C]//Proceedings of the IEEE/CVF Conference on Computer Vi 阅读全文
posted @ 2023-12-29 12:16 方班隐私保护小组 阅读(14) 评论(0) 推荐(0) 编辑
摘要: Zhang, Ning , Q. Ma , and X. Chen . "Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective." (2022). 针对重复执行跨筒仓联 阅读全文
posted @ 2023-12-27 20:57 方班隐私保护小组 阅读(17) 评论(0) 推荐(0) 编辑
摘要: Nan W., et al. “The Value of Collaboration in Convex Machine Learning with Differential Privacy.” 2020 IEEE Symposium on Security and Privacy. 304-317 阅读全文
posted @ 2023-12-26 19:02 方班隐私保护小组 阅读(16) 评论(0) 推荐(0) 编辑
摘要: > "Zhang, Zhuosheng, et al. "SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability." IEEE Transactions on Information For 阅读全文
posted @ 2023-08-30 19:11 方班隐私保护小组 阅读(88) 评论(0) 推荐(0) 编辑
摘要: > "Li, Haoyang, et al. "3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning." 2023 IEEE Symposium on Security an 阅读全文
posted @ 2023-08-29 20:57 方班隐私保护小组 阅读(220) 评论(0) 推荐(0) 编辑
摘要: > "Gu, Tianyu, et al. "Badnets: Evaluating backdooring attacks on deep neural networks." IEEE Access 7 (2019): 47230-47244." a56爆大奖在线娱乐提出了外包机器学习时选择值得信赖的提供商的重要 阅读全文
posted @ 2023-06-27 21:11 方班隐私保护小组 阅读(67) 评论(0) 推荐(0) 编辑
摘要: > "Liu, Kang, Brendan Dolan-Gavitt, and Siddharth Garg. "Fine-pruning: Defending against backdooring attacks on deep neural networks." Research in Att 阅读全文
posted @ 2023-06-27 20:48 方班隐私保护小组 阅读(42) 评论(0) 推荐(0) 编辑