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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results