随笔分类 - 【五期邵润东】
摘要：Gong, Xuan, et al. "Preserving privacy in federated learning with ensemble cross-domain knowledge distillation." Proceedings of the AAAI Conference on
阅读全文
摘要：Wang, Xumeng, et al. "HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning." IEEE Transactions on Vi
阅读全文
摘要：Itahara, Sohei, et al. "Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private
阅读全文
摘要：Wang, Fengwei, et al. "A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent." Information
阅读全文
摘要：Zeng, Jun, et al. "SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records." 2022 IEEE Symposium on Security and Privacy
阅读全文
摘要：Fung, Clement, Chris JM Yoon, and Ivan Beschastnikh. "The limitations of federated learning in sybil settings." 23rd International Symposium on Resear
阅读全文
摘要：Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, and Qiang Yang. 2022. No free lunch theorem for security and utility in federated learning. 1, 1 (Septe
阅读全文
摘要：Xu, Guowen, et al. "Verifynet: Secure and verifiable federated learning." IEEE Transactions on Information Forensics and Security 15 (2019): 911-926.
阅读全文
摘要：Cheng, Jiangnan, Ao Tang, and Sandeep Chinchali. "Task-aware privacy preservation for multi-dimensional data." International Conference on Machine Lea
阅读全文
