Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
Yi Zhou is a Research Staff Member at IBM’s Almaden Research Center in San Jose, CA. Her primary research interests lie in the design of efficient algorithms and techniques for problems that arise in the field of machine learning, federated learning, adversarial machine learning and data security and privacy, etc. More specifically, she worked on building IBM Federated Learning Library and defending against data poisoning attacks for the past few years. Recently, she is also interested in unlearning and data engineering for large language models.
Yi Zhou received her Ph.D. degree from Georgia Institute of Technology in 2018. Her doctoral dissertation focused on designing stochastic algorithms for distributed optimization and machine learning.