5 papers
Sequential Lossy Compression With Causal Conditional Perception
Photios A. Stavrou, Zixuan He
In this paper, we study sequential lossy compression under a causal conditional perception criterion comparing source and reconstruction distributions given the same reconstruction…
Learning-Augmented Perfectly Secure Collaborative Matrix Multiplication
Zixuan He, Mohammad Reza Deylam Salehi, Derya Malak +1
This paper presents a perfectly secure matrix multiplication (PSMM) protocol for multiparty computation (MPC) of over finite fields. The proposed sche…
Rollout-Based Approximate Dynamic Programming for MDPs with Information-Theoretic Constraints
Zixuan He, Charalambos D. Charalambous, Photios A. Stavrou
This paper studies a finite-horizon Markov decision problem with information-theoretic constraints, where the goal is to minimize directed information from the controlled source pr…
Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric
Hao Chen, Cong Tian, Zixuan He +3
With the significant success achieved by large language models (LLMs) like LLaMA, edge computing-based LLM inference services for mobile and PC are in high demand for data privacy.…
A New Finite-Horizon Dynamic Programming Analysis of Nonanticipative Rate-Distortion Function for Markov Sources
Zixuan He, Charalambos D. Charalambous, Photios A. Stavrou
This paper deals with the computation of a non-asymptotic lower bound by means of the nonanticipative rate-distortion function (NRDF) on the discrete-time zero-delay variable-rate…