4 papers
MaxModShift: Model Privacy via Designed Shifts
Nomaan A. Kherani, Urbashi Mitra
Model learning by an eavesdropper is treated as an estimation problem in a federated environment. The Fisher Information Matrix for the eavesdropper's estimation problem is driven…
Structured Tensor Approximation from Lateral Slice Sampling via Basis and Manifold Priors
Jeongmin Chae, Usama Saleem, Selin Bac +2
In this work, we consider a structured tensor approximation problem, where only a limited number of lateral slices are observed. The proposed algorithm , called Basis and Manifold…
-Explorer: Minimax Active Model Estimation in MDPs
Xihe Gu, Urbashi Mitra, Tara Javidi
Accurately estimating the transition dynamics of an unknown Markov decision process (MDP) is a central problem in reinforcement learning. The accuracy of overall model estimation,…
ModShift: Model Privacy via Designed Shifts
Nomaan A. Kherani, Urbashi Mitra
In this paper, shifts are introduced to preserve model privacy against an eavesdropper in federated learning. Model learning is treated as a parameter estimation problem. This pers…