FedRule: Federated Rule Recommendation System with Graph Neural Networks
Authors: Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu | Published: 2022-11-13
プライバシー保護手法
Provable Membership Inference Privacy
Authors: Zachary Izzo, Jinsung Yoon, Sercan O. Arik, James Zou | Published: 2022-11-12
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
Authors: Christopher A. Choquette-Choo, H. Brendan McMahan, Keith Rush, Abhradeep Thakurta | Published: 2022-11-12 | Updated: 2023-06-08
Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Authors: Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang | Published: 2022-11-08 | Updated: 2023-11-18
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Authors: Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat | Published: 2022-11-08 | Updated: 2023-08-10
Unlearning Graph Classifiers with Limited Data Resources
Authors: Chao Pan, Eli Chien, Olgica Milenkovic | Published: 2022-11-06 | Updated: 2023-07-01
Revisiting Hyperparameter Tuning with Differential Privacy
Authors: Youlong Ding, Xueyang Wu | Published: 2022-11-03 | Updated: 2023-01-31
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2022-10-31 | Updated: 2024-05-21
Federated Boosted Decision Trees with Differential Privacy
Authors: Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha | Published: 2022-10-06
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06