2 papers
eess.SP2025
Reduced-Complexity Model Selection and Rate Allocation for Multiple-Model Electrical Signal Compression
Corentin Presvôts, Michel Kieffer, Thibault Prevost
This paper adapts a Multiple-Model Coding (MMC) approach for sampled electrical signal waveforms to satisfy reconstructed signal quality constraints. The baseline MMC approach cons…
cs.IT2024
Temporal Predictive Coding for Gradient Compression in Distributed Learning
Adrian Edin, Zheng Chen, Michel Kieffer +1
This paper proposes a prediction-based gradient compression method for distributed learning with event-triggered communication. Our goal is to reduce the amount of information tran…