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is an AI-based technique that supports imitation of the preferred system behaviour by using its behavioural history. It helps in the inference of the reward values by taking the observed history
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. This project aims to dive into the dynamics of attack methodologies (e.g., Membership Inference, Property Inference) and defensive mechanisms (e.g., Differential Privacy, Machine Unlearning) within FL
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prioritisation processes, reporting, benefits tracking, and delivery coordination. Please ensure you read the Job Description and Person Specification for full details of this role. FICS combines Finance and
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relating to law in order to teach and support learning on law modules, to develop teaching programmes, and support learning Have a consistent track record of excellent teaching across a variety of modules