3 papers
cs.LG2026
A Context Augmented Multi-Play Multi-Armed Bandit Algorithm for Fast Channel Allocation in Opportunistic Spectrum Access
Ruiyu Li, Guangxia Li, Xiao Lu +2
We study the restless contextual multi-play multi-armed bandit (MP-MAB) problem for channel allocation in the opportunity spectrum access (OSA) scenario. Most existing MP-MAB metho…
cs.LG2025
Sharpness-aware Federated Graph Learning
Ruiyu Li, Peige Zhao, Guangxia Li +3
One of many impediments to applying graph neural networks (GNNs) to large-scale real-world graph data is the challenge of centralized training, which requires aggregating data from…
cs.LG2024
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers
Ruiyu Li, Peilin Zhao, Guangxia Li +2
Online multi-task learning (OMTL) enhances streaming data processing by leveraging the inherent relations among multiple tasks. It can be described as an optimization problem in wh…