Distributed compression in the era of machine learning: A review of recent advances
E Özyılkan, E Erkip - 2024 58th Annual Conference on …, 2024 - ieeexplore.ieee.org
Many applications from camera arrays to sensor networks require efficient compression and
processing of correlated data, which in general is collected in a distributed fashion. While …
processing of correlated data, which in general is collected in a distributed fashion. While …
Importance matching lemma for lossy compression with side information
We propose two extensions to existing importance sampling based methods for lossy
compression. First, we introduce an importance sampling based compression scheme that is …
compression. First, we introduce an importance sampling based compression scheme that is …
Information Compression in the AI Era: Recent Advances and Future Challenges
This survey articles focuses on emerging connections between the fields of machine
learning and data compression. While fundamental limits of classical (lossy) data …
learning and data compression. While fundamental limits of classical (lossy) data …