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optimization-based network partitioning point to scalable, communication-aware control designs; stochastic MPC and co-design studies demonstrate methods for handling uncertainty and jointly optimizing assets and
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optimization. At the same time, AI models, especially deep neural networks, are becoming increasingly complex, with energy consumption and carbon footprint emerging as major concerns. For instance, training a
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of the Telecoms and Networks division of the Signals and Systems Laboratory (L2S). The L2S (Signals and Systems Laboratory UMR 8506) is a joint research unit of the CNRS, CentraleSupélec, and Université Paris
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Context — Headwater catchments (HWC) form the uppermost parts of river networks and represent a large fraction of the European hydrological system. Although they are relatively small (from a few to a few
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energy materials—and is equipped with state-of-the-art research facilities. Embedded in a dynamic network of industrial and academic collaborations, SIMaP provides an ideal environment for ambitious
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interactions with the network of other major French and international institutions working on these questions. They typically comprise collaborative work, joint seminars, co-organized workshops and conferences