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lightweight to heavyweight) based on real-time constraints (e.g., battery level, network latency, device memory) [10, 11]. • Federated Learning: Study federated learning(FL) as a means to distribute AI
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multimodal data streams combining video, metadata derived from artificial intelligence algorithms, and information collected from surrounding objects. These data streams exhibit heterogeneous constraints in
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is mandatory to apply. Large-scale data science workloads are increasingly constrained not by algorithmic complexity or model architecture, but by the physical limits of memory hierarchies and
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to the desired state parameters. The last one will focus on the development of advanced processing algorithms combining information fusion and machine learning in order to improve the robustness of interpretation
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bounded delays in distributed systems where time is critical. This evolution of Ethernet is a cornerstone technology in fields such as automotive systems, avionics, and industrial automation, where data
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estimation in dynamic. Building upon this RF-based perception layer, the project will develop distributed coordination and online trajectory generation strategies, allowing the swarm to adapt its behavior in
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permanent staff members—including researchers, faculty members, engineers, and technicians—as well as temporary staff on fixed-term contracts, postdocs, doctoral students, and interns, distributed across 21
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the delivery of wider co-benefits and minimizing costs. The proposed multi-objective approach, based on optimization and machine learning algorithms, is used for defining optimal configurations, including water
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-driven methods, which are flexible but often fail in out-of-distribution scenarios. Hybrid approaches combining both paradigms have emerged as a promising direction to overcome these limitations
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
(Loreley, CEDAR and MAGELLAN). This project aims to design and develop an open-source management solution for a federated and distributed data exchange platform (DXP), operating in an open, scalable, and