Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
How do regional productivity shocks or transportation infrastructure improvements affect aggregate welfare? In a general class of spatial equilibrium models, we provide a formula for aggregate welfare ...
Abstract: Grid-forming Virtual Power Plants (GF-VPPs) enhance distribution network flexibility by aggregating user-side loads. This paper proposes a cloud - edge - terminal scheduling mechanism for ...
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