Federated Learning

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Authors: Zhibo Wang, Mengkai Song, Zhifei Zhang, Yang Song, Qian Wang, Hairong Qi | Published: 2018-12-03 | Updated: 2018-12-05
Differential Privacy
Federated Learning

Analyzing Federated Learning through an Adversarial Lens

Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
Poisoning
Federated Learning
Weight Update Method

Joint Service Pricing and Cooperative Relay Communication for Federated Learning

Authors: Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim, Ying-Chang Liang | Published: 2018-11-29
Data Collection
Optimization Problem
Federated Learning

Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

Authors: Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh | Published: 2018-11-24 | Updated: 2019-12-12
Poisoning Attack
Differential Privacy
Federated Learning

Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms

Authors: Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu | Published: 2018-06-06
Privacy Protection Method
Certified Robustness
Federated Learning

Differentially Private Federated Learning: A Client Level Perspective

Authors: Robin C. Geyer, Tassilo Klein, Moin Nabi | Published: 2017-12-20 | Updated: 2018-03-01
Client-Side Component
Privacy Protection
Federated Learning