4 citations · 6 across the 5 of their papers we have counts for
5 papers
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling
Bowei He, Yinan Mao, Shiji Zhou +2
Current learning-based edge caching schemes usually suffer from dynamic content popularity, e.g., in the emerging short video platforms, users' request patterns shift significantly…
Efficient and Secure Federated Learning for Financial Applications
Tao Liu, Zhi Wang, Hui He +4
The conventional machine learning (ML) and deep learning approaches need to share customers' sensitive information with an external credit bureau to generate a prediction model tha…
Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
Shuzhao Xie, Yuan Xue, Yifei Zhu +1
With the advancement of deep learning techniques, major cloud providers and niche machine learning service providers start to offer their cloud-based machine learning tools, also k…
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
Chicheng Zhang, Zhi Wang
We study multi-task reinforcement learning (RL) in tabular episodic Markov decision processes (MDPs). We formulate a heterogeneous multi-player RL problem, in which a group of play…
Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach
Wen Hu, Yichao Jin, Yonggang Wen +2
The emergence of smart Wi-Fi APs (Access Point), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to impr…