anranli515/vfl_paper_list

vertical federated learning paper lists

Vertical Federated Learning Paper Lists

• Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption [paper] [arxiv 17.11]

• Entity Resolution and Federated Learning get a Federated Resolution [paper] [arxiv 18.03]

• SecureBoost: A Lossless Federated Learning Framework [paper] [arxiv 19.01]

• A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression [Paper] [NIPS 2019 Workshop]

• A Communication-Efficient Collaborative Learning Framework for Distributed Features [paper] [NIPS 2019 workshop]

• Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator [paper] [IJCAI 2019 workshop]

• Multi-Participant Multi-Class Vertical Federated Learning [paper] [arxiv 2001]

• Asymmetrical Vertical Federated Learning [paper] [arxiv 2004]

• Split learning for health: Distributed deep learning without sharing raw patient data [paper] [arxiv 1812]

• Optimization for Large-Scale Machine Learning with Distributed Features and Observations [paper] [arxiv 1610]

• Learning Privately over Distributed Features: An ADMM Sharing Approach [paper] [arxiv 1907]

• Measure Contribution of Participants in Federated Learning [paper(https://arxiv.org/pdf/1909.08525.pdf)] [2019 IEEE International Conference on Big Data (Big Data)]