FML-19： Multi-task Learning for Vertical Federated Machine Learning: A Case Study For Cross-Lingual Short-Text Matching
Published in The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML-19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019
Brief Introduction : This paper is about vertical federated machine learning on cross-lingual short-text matching and accepted by FML-19(a workshop in IJCAI-19). In this paper, we propose a vertical federated learning framework using multi-task learning.
Authors : Bo Li, Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang and Yanbo J. Wang
Place : Macau‚ China
Date : Aug 12th, 2019