Abstract: The fusion of federated learning and differential privacy can provide more comprehensive and rigorous privacy protection, thus attracting extensive interests from both academia and industry.
Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...
Purpose This fork is maintained for use across my upcoming development resources. While it retains the core logic of the original Lua data validation library, I am actively extending it to include: ...
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