Abstract: Federated learning (FL) is a machine learning paradigm where a shared central model is learned across distributed devices while the training data remains on these devices. Federated ...
Abstract: In this article, we consider an asynchronous discrete-time opinion dynamics model for a social influence network, which consists of a population of interacting individuals, each holding ...
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