{"slug": "communication-efficient-vertical-federated-learning-with-limited-overlapping", "title": "Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples", "summary": "NVIDIA researchers and collaborators from Duke University introduced a communication-efficient vertical federated learning method that handles limited overlapping samples, presented at CVPR 2023. The approach reduces communication overhead while maintaining model accuracy in scenarios where data features are distributed across parties with few shared samples.", "body_md": "Research Labs\nAll Research Labs\nSpatial Intelligence\nApplied Research\nAutonomous Vehicles\nDeep Imagination\nPublications\nAI Playground\nNew and Featured\nAI Art Gallery\nNGC Demos\nResearch Areas\nAI & Machine Learning\n3D Deep Learning\nComputer Vision\nRobotics\nAll Areas\nCareers\nAcademic Collaborations\nGovernment Collaborations\nGraduate Fellowship\nInternships\nResearch Openings\nResearch Scientists\nMeet the Team\nLicensing\nSkip to main content\nArtificial Intelligence Computing Leadership from NVIDIA\nLogin\nResearch Labs\nAll Research Labs\nSpatial Intelligence\nApplied Research\nAutonomous Vehicles\nDeep Imagination\nPublications\nAI Playground\nNew and Featured\nAI Art Gallery\nNGC Demos\nResearch Areas\nAI & Machine Learning\n3D Deep Learning\nComputer Vision\nRobotics\nAll Areas\nCareers\nAcademic Collaborations\nGovernment Collaborations\nGraduate Fellowship\nInternships\nResearch Openings\nResearch Scientists\nMeet the Team\nLicensing\nSearch\nSearch\nEnter the terms you wish to search for.\nPublications\nCommunication-Efficient Vertical Federated Learning with Limited Overlapping Samples\nCommunication-Efficient Vertical Federated Learning with Limited Overlapping Samples\nAuthors\nJingwei Sun (Duke University)\nZiyue Xu\nDong Yang\nVishwesh Nath\nWenqi Li\nCan Zhao\nDaguang Xu\nYiran Chen (Duke University)\nHolger Roth\nPublication Date\nMonday, October 2, 2023\nPublished in\nCVPR 2023\nResearch Area\nArtificial Intelligence and Machine Learning\nExternal Links\nCVPR", "url": "https://wpnews.pro/news/communication-efficient-vertical-federated-learning-with-limited-overlapping", "canonical_source": "https://research.nvidia.com/publication/2023-10_communication-efficient-vertical-federated-learning-limited-overlapping-samples", "published_at": "2026-06-15 23:47:22+00:00", "updated_at": "2026-06-16 00:18:51.956108+00:00", "lang": "en", "topics": ["machine-learning", "ai-research"], "entities": ["NVIDIA", "Duke University", "Jingwei Sun", "Ziyue Xu", "Dong Yang", "Vishwesh Nath", "Wenqi Li", "Holger Roth"], "alternates": {"html": "https://wpnews.pro/news/communication-efficient-vertical-federated-learning-with-limited-overlapping", "markdown": "https://wpnews.pro/news/communication-efficient-vertical-federated-learning-with-limited-overlapping.md", "text": "https://wpnews.pro/news/communication-efficient-vertical-federated-learning-with-limited-overlapping.txt", "jsonld": "https://wpnews.pro/news/communication-efficient-vertical-federated-learning-with-limited-overlapping.jsonld"}}