Abstract: Federated learning is a distributed machine learning paradigm that enables collaborative model training across multiple clients without requiring data to leave the local nodes. One of the ...
Abstract: The rapid growth of "big data" has made it more challenging to quickly manage and analyze enormous datasets in environments with distributed computing. To address this problem, the article ...