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Federated learning (FL) is a privacy-preserving distributed learning paradigm that allows different clients to create a shared AI models without having to share their data. Despite these advantages
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tests for bridges Demonstrable experience of organising and carrying out field testing and instrumentation of bridges to determine static response Demonstrable experience in processing bridge acceleration
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