Gate News 消息，3 月 18 日，LazAI 团队论文《QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks》（面向多模态智能体网络的 QoS 感知 Token 调度与隐私数据估值）已被 IEEE ICME 2026 正式录用。IEEE ICME（国际多媒体博览会）是多媒体与智能计算领域的顶级学术会议之一，本届会议共收到 3,810 篇有效投稿，最终录取 1,101 篇，录取率为 28.89%。该论文聚焦于 AI Agent 网络中的两个核心问题：Token 调度优化——在多模态智能体协作场景下，如何实现高效的资源分配与服务质量保障；隐私数据估值——如何在保护数据隐私的前提下，对 AI 训练与推理中的数据贡献进行准确的价值评估。这两个研究方向与 LazAI 正在构建的去中心化 AI 基础设施高度吻合，DAT（Data Anchoring Token）解决数据资产化与收益分配问题，验证计算框架确保 Agent 行为的可信执行。本次论文录用标志着 LazAI 的技术路线正在获得主流学术界的认可。论文将在 ICME 2026 会议期间正式发表并进行现场展示。
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