Abstract: Split learning (SL) is a privacy-focused method for training deep learning models that prevents clients and servers from sharing raw data. There are a few downsides to supervised learning, ...
Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...
Divorces among Americans over 50, often called “gray divorces,” now account for about 36% of all divorces in the U.S. (1). For many older couples, what’s at stake when they split can be decades of ...
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