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: With the increasing richness of the functions carried on top of the car, the amount of data generated on the nodes carried on the vehicle CAN bus is getting bigger and bigger, and it takes ...
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