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Towards Causal Federated Learning For Enhanced Robustness and Privacy

Towards Causal Federated Learning For Enhanced Robustness and Privacy

14 April 2021
Sreya Francis
Irene Tenison
Irina Rish
    FedML
    OOD
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Papers citing "Towards Causal Federated Learning For Enhanced Robustness and Privacy"

3 / 3 papers shown
Title
Deep Causal Learning: Representation, Discovery and Inference
Deep Causal Learning: Representation, Discovery and Inference
Zizhen Deng
Xiaolong Zheng
Hu Tian
D. Zeng
CML
BDL
31
11
0
07 Nov 2022
Distribution inference risks: Identifying and mitigating sources of
  leakage
Distribution inference risks: Identifying and mitigating sources of leakage
Valentin Hartmann
Léo Meynent
Maxime Peyrard
Dimitrios Dimitriadis
Shruti Tople
Robert West
MIACV
29
14
0
18 Sep 2022
The Connection between Out-of-Distribution Generalization and Privacy of
  ML Models
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
16
7
0
07 Oct 2021
1