Towards Causal Federated Learning For Enhanced Robustness and Privacy

14 April 2021

Papers citing "Towards Causal Federated Learning For Enhanced Robustness and Privacy"

5 / 5 papers shown

Title
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 41 11 0 07 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 33 18 0 31 Oct 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 31 14 0 18 Sep 2022
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 21 7 0 07 Oct 2021
Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective Ning Zhang Qian Ma Xu Chen FedML 24 50 0 22 Jun 2021