AI RESEARCH
CollaFuse: Collaborative Diffusion Models
arXiv CS.AI
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ArXi:2406.14429v3 Announce Type: replace-cross In the landscape of generative artificial intelligence, diffusion-based models have emerged as a promising method for generating synthetic images. However, the application of diffusion models poses numerous challenges, particularly concerning data availability, computational requirements, and privacy. Traditional approaches to address these shortcomings, like federated learning, often impose significant computational burdens on individual clients, especially those with constrained resources. In response to these challenges, we