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CAREER: Advancing Distributed Data Compression and Communication via Generative Models, Learning, and Information Theory

Organization University of Texas at AustinLocation AUSTIN, United StatesPosted 1 Jul 2025Deadline 30 Jun 2030
NSFUS FederalResearch GrantScience FoundationTX
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Modern data-intensive applications, such as the Internet of Things (IoT), virtual reality, and cooperative robotics, generate large amounts of correlated data from distributed devices, making it crucial to communicate this data efficiently to optimize task performance. Two essential components in achieving this are: (1) data compression methods…

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CAREER: Advancing Distributed Data Compression and Communication via Generative Models, Learning, and Information Theory | Dev Procure