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Field
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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Friedrich Wilhelm Bessel (1784–1846) and funded by the Federal Ministry of Education and Research. For more information please see the Friedrich Wilhelm Bessel Research Award programme information. Links
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic
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-shot/Few-shot Learning and Distributed/Decentralized Federated Learning not only provide approaches to combine intelligence but also ensure computational tractability of exponentially growing and
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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Nemetschek Institute of Artificial Intelligence for the Built World and conducted in collaboration with a range of other TUM chairs from the Geodesy and Computer Sciences domains. Tasks Your duties will
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and distributed systems. Applicants need to have a strong background and interest in algorithms and/or combinatorics. You ideally should have an MSc degree in Computer science with a focus on algorithms
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and an extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer