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of advanced Federated Learning algorithms. The research activity will be aimed at the study, implementation, and validation of distributed learning solutions. Where to apply Website https://pica.cineca.it/unina
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for the manufacturing sector, focused on regenerative models and operator-machine interaction with a view to Industry 5.0. Algorithms will be studied for the personalized adaptation of interactions, improving efficiency
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
tasks include: (i) developing federated data profiling and quality estimation algorithms that operate without centralizing sensitive health data; (ii) designing quality-aware aggregation strategies
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
. The proposed project aims to develop new techniques for observability analysis and distributed state estimation directly from data, even in the presence of noise, disturbances, and unmeasured inputs
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, supported by adaptive scheduling and execution algorithms for distributed quantum applications, and validated in both simulated and real-world environments. Secondment periods are planned at the project