In distributed computing settings, data privacy is of paramount importance (e.g., mobile or medical devices). Federated Learning (FL) empowered the state-of-the-art deep neural network model to provide AI solutions to clients while keeping the client data private in distributed computing settings. Communication between different devices is one of the main bottlenecks of FL model because […]
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