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 ...
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Make Python scripts smarter with regex: 5 practical RE examples
If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into ...
In the hours and days following Juan Carlos Ferrero's abrupt dismissal, Spanish media insisted that Carlos Alcaraz had not been involved in the decision, something Toni Nadal rejects: it is impossible ...
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