FATE: Federated Machine Learning FrameworkPractical FATE-LLM Task with KubeFATE — A Hands-on ApproachAuthor: Fangchi Wang, Senior Member of Technical Staff, Office of the CTO at VMware. Chenlong Ma, Henry Zhang and Layne Peng from Office…Jul 5, 2023Jul 5, 2023
FATE: Federated Machine Learning FrameworkLinux Foundation Open Source Summit Recap: Federated Learning SolutionThe Linux Foundation Open Source Summit (North America) was successfully held in Vancouver, Canada during May 10th-12th, 2023. This event…May 18, 2023May 18, 2023
FATE: Federated Machine Learning FrameworkFATE-LLM: Efficient and Private LLM Training with Federated LearningAuthor : Fangchi WangMay 16, 2023May 16, 2023
FATE: Federated Machine Learning FrameworkCloud-Native Federated Learning and ProjectsAuthor : Layne PengNov 8, 2021Nov 8, 2021
FATE: Federated Machine Learning Frameworkfate-operator: Kubernetes Operator for FATE (Federated AI Technology Enabler)Authors: Layne Peng, Henry Zhang, Chen-long MaOct 20, 2021Oct 20, 2021
FATE: Federated Machine Learning FrameworkUtilization of FATE in Risk Management of Credit in Small and Micro EnterprisesAuthors: Henry Zhang, Layne PengSep 14, 2021Sep 14, 2021
FATE: Federated Machine Learning FrameworkBuild Two Parties FATE Cluster in One Linux Machine with MiniKubeAuthors: Layne Peng, Henry Zhang, Cheng-long MaSep 2, 2021Sep 2, 2021
FATE: Federated Machine Learning FrameworkFATE deployment using Docker ComposeAuthors: Cheng-long Ma, Henry Zhang, Layne PengAug 25, 2021Aug 25, 2021
FATE: Federated Machine Learning FrameworkDeploy an exchange central multi parties federated learning network with KubeFATEAuthors: Jiahao Chen, Henry Zhang, Layne PengAug 17, 2021Aug 17, 2021
FATE: Federated Machine Learning FrameworkDeep Analysis to Customized Deployment of Federated Learning Components in KubeFATEAuthors: Jiahao Chen, Henry Zhang, Layne PengAug 16, 2021Aug 16, 2021
