Workshop on Federated Learning for Data Privacy and Confidentiality (in Conjunction with NeurIPS 2019)

Workshop on Federated Learning for Data Privacy and Confidentiality (in Conjunction with NeurIPS 2019)

Visit Website: http://federated-learning.org/fl-neurips-2019/

Invited Talk

Federated Learning in Recommendation Systems by Qiang Yang (PDF)

Papers

Yang Liu, Yan Kang, Xinwei Zhang, Liping Li and Mingyi Hong. A Communication Efficient Vertical Federated Learning Framework

Mingshu Cong, Zhongming Ou, Yanxin Zhang, Han Yu, Xi Weng, Jiabao Qu, Siu Ming Yiu, Yang Liu and Qiang Yang. Neural Network Optimization for a VCG-based Federated Learning Incentive Mechanism

Suyi Li, Yong Cheng, Yang Liu and Wei Wang. Abnormal Client Behavior Detection in Federated Learning

Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu and Qiang Yang. Real-World Image Datasets for Federated Learning

Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen and Qiang Yang. HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography

Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi and Qiang Yang. A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression