Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...
Abstract: Due to the uneven geographical distribution of renewable energy sources (RES), the fluctuating generation from RES needs to be transported to demand centers, often covering substantial ...
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