We are excited to share that our paper, MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection, has received the prestigious Best Paper Award at the 30th IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2024. Out of 93 accepted papers, ours was honored as the conference’s sole Best Paper. This recognition highlights the groundbreaking advancements of MARS in optimizing real-time workflow scheduling while safeguarding privacy in hybrid cloud environments, showcasing our team’s leading contributions to the field.