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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain
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-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain
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activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support the