Backdoor Attacks on Federated Meta-Learning
Authors: Chien-Lun Chen, Leana Golubchik, Marco Paolieri | Published: 2020-06-12 | Updated: 2020-12-16
連合学習
Secure Byzantine-Robust Machine Learning
Authors: Lie He, Sai Praneeth Karimireddy, Martin Jaggi | Published: 2020-06-08 | Updated: 2020-10-18
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
Authors: Kalikinkar Mandal, Guang Gong | Published: 2020-04-05
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Authors: Huafei Zhu, Zengxiang Li, Mervyn Cheah, Rick Siow Mong Goh | Published: 2020-03-17 | Updated: 2020-04-08
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning
Authors: Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu | Published: 2020-02-23 | Updated: 2021-08-15
Federated Learning with Matched Averaging
Authors: Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni | Published: 2020-02-15
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Authors: Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh | Published: 2019-10-14 | Updated: 2021-04-09
Privacy-Preserving Classification with Secret Vector Machines
Authors: Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West | Published: 2019-07-08 | Updated: 2020-08-19
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model
Authors: Badih Ghazi, Rasmus Pagh, Ameya Velingker | Published: 2019-06-19 | Updated: 2019-12-02
SLSGD: Secure and Efficient Distributed On-device Machine Learning
Authors: Cong Xie, Sanmi Koyejo, Indranil Gupta | Published: 2019-03-16 | Updated: 2019-10-01