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leverage deep neural networks to approximate value functions and policies, enabling scalability to high-dimensional state-action spaces. A key innovation will be the integration of distributed federated
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy
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