LazAI Team's Paper Accepted by IEEE ICME 2026 with an Acceptance Rate of Only 28.89%

BlockBeats News, March 18: The LazAI team'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 the field of multimedia and intelligent computing. This year's conference received a total of 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 ensure service quality in multi-modal agent collaboration scenarios. - **Private Data Valuation**: How to accurately evaluate the contribution of data 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), which addresses the issues of data assetization and revenue distribution, and a verification computation framework to ensure the trustworthy execution of agent behaviors. The acceptance of this paper signifies that LazAI's technical approach is gaining recognition from the mainstream academic community. The paper will be officially published and presented on-site during the ICME 2026 conference.