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 ...
Implements comprehensive server-side validation to prevent a wide range of known and some yet undiscovered cheats, exploits, and crashes. Before executing any player action, PalDefender checks for ...
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