{"repo":"FederatedAI/FATE-Flow","free":true,"listed":false,"github":"https://github.com/FederatedAI/FATE-Flow","clone":"git clone https://github.com/FederatedAI/FATE-Flow.git","description":"Solution for deploying and managing end-to-end federated learning workflows","language":"Python","stars":58,"topics":["pipelines","workflow","resource-management","model-management","data-management"],"license":"Apache-2.0","category":"workflow-automation","readme_excerpt":"中文 FATE Flow is a multi-party federated task security scheduling platform for federated learning end-to-end pipeline - Shared-State Scheduling Architecture - Secure Multi-Party Communication Across Data Centers Providing production-level service capabilities: - Data Access - Component Registry - Federated Job&Task Scheduling - Multi-Party Resource Coordination - Data Flow Tracking - Real-Time Job Monitoring - Multi-Party Federated Model Registry - Multi-Party Cooperation Authority Management - High Availability - CLI, REST API, Python API Deployment Please refer to FATE Documentation The official FATE Flow documentation is here https://federatedai.github.io/FATE-Flow/latest/ License Apache License 2.0","default_branch":null,"files":null,"tree":[],"storefront":"/r/FederatedAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/FederatedAI/FATE-Flow/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}