LazAI's paper, "QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks," has been accepted for presentation at the IEEE ICME 2026. The conference, a leading event in multimedia and intelligent computing, received 3,810 submissions this year, with an acceptance rate of 28.89%. The paper addresses key challenges in AI agent networks, focusing on efficient resource allocation and data privacy valuation. LazAI's research aligns with its decentralized AI infrastructure, emphasizing data assetization and trustworthy agent behavior. The paper will be presented at the ICME 2026 conference.