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Author

Ping Zhang

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#machine learning Open access Oct 2025

Distributed Information Bottleneck Theory for Multi-Modal Task-Aware Semantic Communication

This work proposes a novel task-aware distributed information bottleneck (TADIB) framework, which quantifies the contribution of any set of modalities to given tasks, and designs a practical coding scheme that intelligently selects and compresses only the most task-relevant modalities at the transmitter.

Yu-Jie Zhou, Cheng Peng, Ru-Long Wang et al. · 3 citations

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