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) models. Little attention has been paid to other models like graph NNs (GNNs) or PCA. Among the few existing works in the literature, [2] proposes an FL algorithm to compute PCA in a DP fashion, but the
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generative context. A first goal of this Ph.D. will be to propose a generative DLVM model specifically designed for massive heterogenous data. Regarding the problem of model selection in this context, some
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generative context, in particular when data may evolve along the time. A first goal of this Ph.D. will be to propose a generative DLVM model specifically designed for massive evolving heterogenous data
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to reduce risks and complications, provide higher quality patient care, and enhance the working conditions of surgical teams. According to the French National Authority for Health (HAS) report, 1,187 serious
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learning to identify morphologically close herbivore animals This part deals with the development of original learning techniques to assist archaeozoologists and expand their workflow on the identification