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This paper proposes Cache-to-Cache (C2C), a novel paradigm for direct semantic communication between large language models using KV-Cache, which enhances response quality and reduces latency compared to text-based methods.
This paper proposes a four-layer architecture for cognitive digital twins that enables self-evolving operational loops through integrated cognitive capabilities and task-oriented feedback mechanisms.
Proposes a VAE-based multi-task semantic communication framework for satellite-assisted autonomous driving, achieving significant bandwidth reduction while maintaining performance for traffic sign reconstruction and classification.
This paper proposes a layered architecture for distributed general-purpose agent networks, enabling heterogeneous AI agents to discover, trust, and cooperate on open-ended tasks across personal devices and edge nodes.
This paper proposes TONIC, a token-centric semantic communication framework for task-oriented wireless systems that assigns utility-aware unequal error protection to tokens and uses confidence-aware gating with a Transformer-based completion model, outperforming baselines on image classification.