6 citations · 6 across the 10 of their papers we have counts for
5 papers · 1 filter
Theory of Mixture-of-Experts for Mobile Edge Computing
Hongbo Li, Lingjie Duan
In mobile edge computing (MEC) networks, mobile users generate diverse machine learning tasks dynamically over time. These tasks are typically offloaded to the nearest available ed…
To Optimize Human-in-the-loop Learning in Repeated Routing Games
Hongbo Li, Lingjie Duan
Today navigation applications (e.g., Waze and Google Maps) enable human users to learn and share the latest traffic observations, yet such information sharing simply aids selfish u…
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li, Sen Lin, Lingjie Duan +2
Continual learning (CL) has garnered significant attention because of its ability to adapt to new tasks that arrive over time. Catastrophic forgetting (of old tasks) has been ident…
Distributed Learning for Dynamic Congestion Games
Hongbo Li, Lingjie Duan
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Google Maps and Waze). Yet such platforms myopically recommend the currently shorte…
Human-in-the-loop Learning for Dynamic Congestion Games
Hongbo Li, Lingjie Duan
Today mobile users learn and share their traffic observations via crowdsourcing platforms (e.g., Waze). Yet such platforms simply cater to selfish users' myopic interests to recomm…