14 citations · 17 across the 31 of their papers we have counts for
3 papers · 1 filter
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
Haleh Hayati, Carlos Murguia, Nathan van de Wouw
Federated learning (FL) has emerged as a method to preserve privacy in collaborative distributed learning. In FL, clients train AI models directly on their devices rather than shar…
Immersion and Invariance-based Coding for Privacy in Remote Anomaly Detection
Haleh Hayati, Nathan van de Wouw, Carlos Murguia
We present a framework for the design of coding mechanisms that allow remotely operating anomaly detectors in a privacy-preserving manner. We consider the following problem setup.…
Finite Horizon Privacy of Stochastic Dynamical Systems: A Synthesis Framework for Dependent Gaussian Mechanisms
Haleh Hayati, Carlos Murguia, Nathan van de Wouw
We address the problem of synthesizing distorting mechanisms that maximize privacy of stochastic dynamical systems. Information about the system state is obtained through sensor me…