HELLINGER-UCB: A novel algorithm for stochastic multi-armed bandit problem and cold start problem in recommender system

1 code implementation • 16 Apr 2024 • Ruibo Yang, Jiazhou Wang, Andrew Mullhaupt

In this paper, we study the stochastic multi-armed bandit problem, where the reward is driven by an unknown random variable.

Recommendation Systems

Multi-stage Moving Target Defense: A Security-enhanced D-FACTS Implementation Approach

no code implementations • 2 Jun 2022 • Jiazhou Wang, Jue Tian, Yang Liu, Xiaohong Guan, Dong Yang, Ting Liu

We prove that a designed MMTD can significantly improve the detection capability compared to existing one-stage MTDs.

An Efficient and Robust System for Vertically Federated Random Forest

no code implementations • 26 Jan 2022 • Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen

As there is a growing interest in utilizing data across multiple resources to build better machine learning models, many vertically federated learning algorithms have been proposed to preserve the data privacy of the participating organizations.

Federated Learning

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform

3 code implementations • 8 Jul 2021 • Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen

We use this platform to demonstrate our research and development results on privacy preserving machine learning algorithms.

BIG-bench Machine Learning Binary Classification +2