BlockBeats News, March 18, the LazAI team’s paper “QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks” has been officially accepted by IEEE ICME 2026.
IEEE ICME (International Conference on Multimedia & Expo) is one of the top academic conferences in the multimedia and intelligent computing field. This year’s conference received a total of 3,810 valid submissions, with a final acceptance of 1,101 papers, resulting in an acceptance rate of 28.89%.
The paper focuses on two core issues in AI Agent networks:
Token Scheduling Optimization: How to achieve efficient resource allocation and quality of service guarantee in multi-modal intelligent agent collaboration scenarios;
Private Data Valuation: How to accurately evaluate the value of data contribution in AI training and inference while protecting data privacy;
These two research directions align closely with the decentralized AI infrastructure LazAI is building—where DAT (Data Anchoring Token) addresses data assetization and revenue distribution issues, and a verification framework ensures the trustworthy execution of Agent behavior. The acceptance of this paper signals recognition from the mainstream academic community of LazAI’s technical roadmap.
The paper will be formally published and presented at ICME 2026.
