Abstract: Federated Learning (FL) is to collaboratively train a global model among distributed clients by iteratively aggregating their local updates without sharing their raw data, whereby the global ...
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Each thread will have its own version of the variable. On each thread, the variable is initially initialized to its default value (0 in the example above). When the thread is destroyed, the variable's ...