4 papers · 1 filter
Information Bottleneck Meets Quantization: Finite Rate Analysis and Optimal Designs
Francesco Binucci, Paolo Banelli
The Information Bottleneck (IB) is a well established framework that looks for a latent compact representation of a data source, by trading rate and data-size representation, for i…
Conformal Lyapunov Optimization: Optimal Resource Allocation under Deterministic Reliability Constraints
Francesco Binucci, Osvaldo Simeone, Paolo Banelli
This paper introduces conformal Lyapunov optimization (CLO), a novel resource allocation framework for networked systems that optimizes average long-term objectives, while satisfyi…
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks
C. Battiloro, P. Di Lorenzo, P. Banelli +1
We study decentralized estimation of time-varying signals at a fusion center, when energy harvesting sensors transmit sampled data over rate-constrained links. We propose dynamic s…
Sampling and Recovery of Graph Signals
P. Di Lorenzo, S. Barbarossa, P. Banelli
The aim of this chapter is to give an overview of the recent advances related to sampling and recovery of signals defined over graphs. First, we illustrate the conditions for perfe…