数据是人工智能的基石,打破数据孤岛,实现数据共享是加速人工智能高速发展的必要条件。联邦学习,作为数据安全计算的业界前沿技术方案,在保护数据隐私的同时深度连接各个合作方,达到技术赋能、共创共赢的目标。
- 整个系统分为四个大模块
- 整体调度与转发模块
- 资源管理与调度模块
- 数据求交模块
- 训练器模块
- 整体控制数据求交与训练的调度
- 训练器的配对工作
- 高效的流量转发
- 使用k8s屏蔽底层资源差异
- 使用k8s进行资源的动态调度
- 异步分布式框架提升拼接效率
9nFL使用apache2.0许可
License: Apache License 2.0
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