private data

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

A new arXiv paper introduces a QoS-aware token scheduling and private data valuation framework for decentralized multi-modal agentic networks. The approach embeds multi-modal data in a shared semantic space and uses differentially private prototypes to balance utility and privacy, showing improved fairness and QoS in simulations.