Filters








1 Hit in 3.8 sec

Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits [article]

Chuanhao Li, Hongning Wang
2021 arXiv   pre-print
In this paper, we study linear contextual bandit in a federated learning setting.  ...  Linear contextual bandit is a popular online learning problem. It has been mostly studied in centralized learning settings.  ...  Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis. In Machine learning for healthcare conference, pages 67-82. PMLR, 2018.  ... 
arXiv:2110.01463v1 fatcat:p745jsy2grguxhz6z4cpdjrfqe