# Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples > Source: > Published: 2026-06-15 23:47:22+00:00 Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Skip to main content Artificial Intelligence Computing Leadership from NVIDIA Login Research Labs All Research Labs Spatial Intelligence Applied Research Autonomous Vehicles Deep Imagination Publications AI Playground New and Featured AI Art Gallery NGC Demos Research Areas AI & Machine Learning 3D Deep Learning Computer Vision Robotics All Areas Careers Academic Collaborations Government Collaborations Graduate Fellowship Internships Research Openings Research Scientists Meet the Team Licensing Search Search Enter the terms you wish to search for. Publications Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Authors Jingwei Sun (Duke University) Ziyue Xu Dong Yang Vishwesh Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen (Duke University) Holger Roth Publication Date Monday, October 2, 2023 Published in CVPR 2023 Research Area Artificial Intelligence and Machine Learning External Links CVPR