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or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
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Standard federated learning (FL) approaches are vulnerable to the free-rider dilemma: participating agents can contribute little to nothing yet receive a well-trained aggregated model.
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Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
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This work was completed while Xin Y uan was a PhD student at the University of Chicago.
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