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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed
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data-silos, like hospitals that cannot share their patients' data [4]. Research goal: One of the main scientific challenges of FL, in comparison to other forms of distributed learning, is statistical
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
and organic waste) of which the properties are different and subject to seasonal and climatic variations. For the bioeconomy, it is therefore necessary to sort biomass sources according to the target
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown