Subject: PIVODL: Privacy-preserving vertical federated learning over distributed labels

Speaker: Prof. Yaochu Jin

Time: 16:00-17:00pm, 22nd Nov, 2021

Place: https://meeting.tencent.com/dm/m7VMJ1VlkLlo (Tencent Meeting ID: 843 546 828)

Abstract:

Federated learning (FL) is an emerging privacy preserving machine learning protocol that allows multiple devices to collaboratively train a shared global model without revealing their private local data. Non-parametric models like gradient boosting decision trees (GBDT) have been commonly used in FL for vertically partitioned data. However, these studies assume that all the data labels are stored on only one client, which may be unrealistic for real-world applications. In this talk, we introduce a secure vertical FL framework, named PIVODL, to train GBDT with data labels distributed on multiple devices. Both homomorphic encryption and differential privacy are adopted to prevent label information from being leaked through transmitted gradients and leaf values. Experimental results show that both information leakage and model performance degradation of the proposed PIVODL are negligible.

About the speaker:

Yaochu Jin is an Alexander von Humboldt Professor for Artificial Intelligence endowed by the German Federal Minister of Education and Research, Faculty of Technology, Bielefeld University, Germany. He is also a Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K. He was a “Finland Distinguished Professor” of University of Jyväskylä, Finland, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include evolutionary optimization, evolutionary learning, trustworthy machine learning, and evolutionary developmental systems. Prof Jin is presently the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS and the Editor-in-Chief of Complex & Intelligent Systems. He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, and the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award. He was named by the Web of Science as “a Highly Cited Researcher” in 2019 and 2020. He is a Member of Academia Europaea and Fellow of IEEE.