LazAI team’s paper selected for IEEE ICME 2026, with an acceptance rate of only 28.89%

CryptoWorld News: The LazAI team’s paper has been officially accepted by IEEE ICME 2026. The paper is titled “QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks,” focusing 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 with LazAI’s development of decentralized AI infrastructure, where DAT (Data Anchoring Token) addresses data assetization and revenue sharing, and the verification framework ensures trustworthy execution of Agent behaviors. This acceptance marks recognition of LazAI’s technical approach by the mainstream academic community. The paper will be officially published and presented at ICME 2026. IEEE ICME (International Conference on Multimedia and Expo) is one of the top academic conferences in multimedia and intelligent computing. The conference received 3,810 valid submissions, with 1,101 papers accepted, resulting in an acceptance rate of 28.89%.