Co-authored "Universal Compression"

Co-authored "Universal Compression" refers to a collaborative effort by experts to develop methods for efficiently compressing data generated from unknown or variable sources. Unlike traditional compression, which relies on knowing the data's patterns beforehand, universal compression adapts dynamically to different types of data, optimizing storage and transmission without prior knowledge. This approach is fundamental in fields like data science and information theory, enabling more flexible and effective data management across diverse applications and sources.