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Approximation-free control based on the bioinspired reference model for suspension systems with uncertainty and unknown nonlinearity
The proposed method integrates the superior vibration suppression of the bioinspired reference model and the structural advantage of the prescribed performance function (PPF) in approximation-free control.
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Finally, we introduce Morse-STF, an end-to-end privacy-preserving system for machine learning training that leverages all these improved protocols.
MPC Protocol for G-module and its Application in Secure Compare and ReLU
Based on them, we design secure comparison, selection, ReLU and DReLU protocols, which improve communication efficiency by 2X to 10X compared with state of arts.
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