Papers
1
Total Citations
125
H-Index
1
About
Lili Su is a leading researcher in distributed systems and multi-agent optimization, with a focus on fault tolerance and resilience in decentralized decision-making. Her seminal work, "Fault-Tolerant Multi-Agent Optimization" (2016), which has garnered 125 citations, addresses the critical challenge of enabling networks of agents to collaboratively optimize a global cost function even when some agents fail or behave adversarially. This contribution is foundational for applications ranging from sensor networks to distributed machine learning, where reliability is paramount. Su’s research elegantly bridges theoretical guarantees with practical algorithms, ensuring that systems can maintain performance despite disruptions. Beyond this, her broader portfolio explores the intersections of control theory, optimization, and network science, often emphasizing robustness against Byzantine faults and communication constraints. Her work has been recognized for its clarity and impact, making her a sought-after collaborator and mentor. For students and researchers, Su’s contributions offer a masterclass in designing systems that are not only efficient but also resilient—a vital skill in an era of increasingly complex and interconnected autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Fault-Tolerant Multi-Agent Optimization125 citations · 2016