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FACT: Federated Adversarial Cross Training

FACT: Federated Adversarial Cross Training

1 June 2023
Stefan Schrod
Jonas Lippl
Andreas Schäfer
Michael Altenbuchinger
    FedML
    HILM
ArXivPDFHTML

Papers citing "FACT: Federated Adversarial Cross Training"

4 / 4 papers shown
Title
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
Cem Ata Baykara
Ali Burak Ünal
N. Pfeifer
Mete Akgun
77
0
0
26 Nov 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
43
1
0
22 May 2024
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
177
9,332
0
28 May 2015
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