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One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
[article]
2022
arXiv
pre-print
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Comprehensive experiments on multi-site datasets clearly demonstrate the enhanced performance of pFLSynth against prior federated methods in multi-contrast MRI synthesis. ...
However, FL-trained synthesis models can be impaired by the inherent heterogeneity in the data distribution, with domain shifts evident when common or variable translation tasks are prescribed across sites ...
DISCUSSION Federated MRI synthesis has to operate under distributional heterogeneity in multi-site imaging data [21] . ...
arXiv:2207.06509v2
fatcat:rndoomnecjhahbsc2axaj3x2ca