{"slug": "fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models", "title": "FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models", "summary": "Researchers from Duke University and NVIDIA introduced FedBPT, a method for efficient federated black-box prompt tuning of large language models, presented at ICML 2024. The approach enables collaborative fine-tuning without sharing raw data or model parameters, addressing privacy and communication constraints.", "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\nFedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models\nFedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models\nAuthors\nJingwei Sun (Duke University)\nZiyue Xu\nHongxu Danny Yin\nDong Yang\nDaguang Xu\nYudong Liu (Duke University)\nZhixu Du (Duke University)\nYiran Chen (Duke University)\nHolger Roth\nPublication Date\nSunday, July 21, 2024\nPublished in\nInternational Conference on Machine Learning 2024\nResearch Area\nArtificial Intelligence and Machine Learning\nGenerative AI\nNatural Language Processing", "url": "https://wpnews.pro/news/fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models", "canonical_source": "https://research.nvidia.com/publication/2024-07_fedbpt-efficient-federated-black-box-prompt-tuning-large-language-models", "published_at": "2026-06-15 23:53:13+00:00", "updated_at": "2026-06-16 00:18:46.315296+00:00", "lang": "en", "topics": ["large-language-models", "natural-language-processing", "ai-research"], "entities": ["Duke University", "NVIDIA", "Jingwei Sun", "Ziyue Xu", "Hongxu Danny Yin", "Dong Yang", "Daguang Xu", "Yiran Chen"], "alternates": {"html": "https://wpnews.pro/news/fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models", "markdown": "https://wpnews.pro/news/fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models.md", "text": "https://wpnews.pro/news/fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models.txt", "jsonld": "https://wpnews.pro/news/fedbpt-efficient-federated-black-box-prompt-tuning-for-large-language-models.jsonld"}}