QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks

In three linesFair token allocation system for decentralized agentic networks. Approach combines multi-modal representations, differentially private prototypes, and reward scheme robust to data heterogeneity. Simulations show improved fairness and QoS, with enhanced resistance to image reconstruction attacks.

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