Security and Privacy Issues of Federated Learning
Authors: Jahid Hasan | Published: 2023-07-22
連合学習
Privacy-preserving patient clustering for personalized federated learning
Authors: Ahmed Elhussein, Gamze Gursoy | Published: 2023-07-17
Population Expansion for Training Language Models with Private Federated Learning
Authors: Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis | Published: 2023-07-14
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Authors: Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He | Published: 2023-07-10
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Authors: Tengchan Zeng, Aidin Ferdowsi, Omid Semiari, Walid Saad, Choong Seon Hong | Published: 2023-07-05
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Authors: Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William Knottenbelt, Eric Xing | Published: 2023-07-02 | Updated: 2024-03-12
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing
Authors: Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen | Published: 2023-06-28
Optimal Differentially Private Model Training with Public Data
Authors: Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn | Published: 2023-06-26 | Updated: 2024-09-09
Towards Sybil Resilience in Decentralized Learning
Authors: Thomas Werthenbach, Johan Pouwelse | Published: 2023-06-26
Private Federated Learning in Gboard
Authors: Yuanbo Zhang, Daniel Ramage, Zheng Xu, Yanxiang Zhang, Shumin Zhai, Peter Kairouz | Published: 2023-06-26