{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/federated-machine-learning-concept-and","title":"Federated Machine Learning: Concept and Applications","arxiv_id":"1902.04885","date":"2019-02-13","proceeding":null,"authors":["Qiang Yang","Yang Liu","Tianjian Chen","Yongxin Tong"],"abstract":"Today's AI still faces two major challenges. One is that in most industries,\ndata exists in the form of isolated islands. The other is the strengthening of\ndata privacy and security. We propose a possible solution to these challenges:\nsecure federated learning. Beyond the federated learning framework first\nproposed by Google in 2016, we introduce a comprehensive secure federated\nlearning framework, which includes horizontal federated learning, vertical\nfederated learning and federated transfer learning. We provide definitions,\narchitectures and applications for the federated learning framework, and\nprovide a comprehensive survey of existing works on this subject. In addition,\nwe propose building data networks among organizations based on federated\nmechanisms as an effective solution to allow knowledge to be shared without\ncompromising user privacy.","url_abs":"http://arxiv.org/abs/1902.04885v1","url_pdf":"http://arxiv.org/pdf/1902.04885v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"federated-machine-learning-concept-and","repo_url":"https://github.com/kubeflow/fate-operator","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"federated-learning","task_name":"Federated Learning"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"vertical-federated-learning","task_name":"Vertical Federated Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1902.04885","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}