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Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness
The topic of fairness in AI, as debated in the FATE (Fairness, Accountability, Transparency, and Ethics in AI) communities, has sparked meaningful discussions in the past years.
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
Tailored for efficient and collaborative use of denoising diffusion probabilistic models, CollaFuse enables shared server training and inference, alleviating client computational burdens.
A review of systematic selection of clustering algorithms and their evaluation
As the selection of the right clustering procedure is crucial to the results of the data analysis, users are in need for support on their journey of extracting knowledge from raw data.
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