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LazAI Team Paper Selected for IEEE ICME2026, Acceptance Rate Only 28.89%
Summary: Breaking news, the LazAI team 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 & Expo) is one of the top academic conferences in the multimedia and intelligent computing fields. This year, the conference received a total ...
Breaking news, the LazAI team 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 & Expo) is one of the top academic conferences in the multimedia and intelligent computing fields. This year, the conference received a total of 3,810 valid submissions, with 1,101 papers ultimately 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 service quality assurance in multi-modal intelligent agent collaboration scenarios;
Private data valuation: How to accurately assess the value of data contributions in AI training and inference while protecting data privacy;
These two research directions align closely with the decentralized AI infrastructure LazAI is building—DAT (Data Anchoring Token) addresses data assetization and revenue distribution issues, while the verification framework ensures the trustworthy execution of Agent behavior. The acceptance of this paper signifies recognition of LazAI's technical roadmap by the mainstream academic community.
The paper will be officially published and presented at ICME 2026 conference.
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Link: LazAI Team Paper Selected for IEEE ICME2026, Acceptance Rate Only 28.89% [Copy]
