LazAI’s research paper “QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks” has been accepted at IEEEorg ICME 2026
Out of 3,810 submissions, only 28.89% were accepted — and ours made the cut.
Congrats to co-author Alex Du, PhD, from the University of British Columbia, and the entire team. Huge thanks to BlockchainUBC and MitacsCanada for their support in making this research possible.
From verifiable data valuation to intelligent agent coordination, we’re not just building， we’re advancing the science behind it.
The future of AI infrastructure is peer-review