Gate News: On March 18, LazAI’s paper titled “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 and Expo) is one of the top academic conferences in multimedia and intelligent computing. This year’s conference received 3,810 valid submissions, with 1,101 papers accepted, 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 in multi-modal agent collaboration scenarios; and private data valuation—how to accurately assess the value of data contributions in AI training and inference while protecting data privacy. These research directions align closely with LazAI’s development of decentralized AI infrastructure. DAT (Data Anchoring Token) addresses data assetization and revenue sharing, while the verification framework ensures trustworthy execution of agent actions. The acceptance of this paper marks recognition of LazAI’s technical approach by mainstream academia. The paper will be officially published and presented at ICME 2026.
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