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: Vehicle ad hoc network (VANET), with its characteristics of fast mobility and uneven distribution, adds complexity and uncertainty to the network. To ensure reliable routing connectivity in ...
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