48 citations · 143 across the 47 of their papers we have counts for
44 papers · 1 filter
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…
Rate-Distortion-Perception Theory: Redefining the Fundamental Limits of Information Representation
Photios A. Stavrou, Giuseppe Serra, Marios Kountouris
Classical rate-distortion (RD) theory has long established the fundamental limits of lossy compression by quantifying the minimum number of bits required to represent a source unde…
Information-Theoretic Meta Dynamic Programming for Signalling and Control of POMDPs
Charalambos D. Charalambous, Stelios Louka, Photios A. Stavrou
In this paper, we study the information-theoretic characterization of simultaneous signalling and control over channels modeled by partially observable Markov decision processes (P…
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…
Analyzing α-divergence in Gaussian Rate-Distortion-Perception Theory
Martha V. Sourla, Giuseppe Serra, Photios A. Stavrou +1
The problem of estimating the information rate distortion perception function (RDPF), which is a relevant information-theoretic quantity in goal-oriented lossy compression and sema…
Information Entropy-Based Scheduling for Communication-Efficient Decentralized Learning
Jaiprakash Nagar, Zheng Chen, Marios Kountouris +1
This paper addresses decentralized stochastic gradient descent (D-SGD) over resource-constrained networks by introducing node-based and link-based scheduling strategies to enhance…