Bandwidth-Efficient Multi-Agent Communication through Information Bottleneck and Vector Quantization

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• The proposed framework combines information bottleneck theory with vector quantization for bandwidth-efficient multi-agent communication.method 70%
• The method learns to compress and discretize communication messages while preserving task-critical information.method 70%
• A gated communication mechanism is introduced that dynamically determines the necessity of communication.method 70%
• The framework achieves 181.8% performance improvement over no-communication baselines.result 70%
• The method reduces bandwidth usage by 41.4%.result 70%
• The proposed approach dominates existing communication strategies across the success-bandwidth spectrum.result 70%
• The framework is theoretically grounded for deployment in bandwidth-constrained environments.technical 70%
• Potential limitations include lack of real-world deployment tests and robustness across diverse tasks.limitation 70%

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