只看这三点就够：快速了解联邦学习框架！

{"type":"doc","content":[{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"01 部署"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在实际落地时，不同企业间往往无法达到机器配置和网络环境的统一，因此会造成较高的先期训练及推理环境准备带来的的人力成本，从以往的经验来看，较为便捷的方式是通过打包联邦学习应用以及依赖包，到一个可移植的轻量容器——docker中，让其可以在任何安装了Docker的机器上运行，而不用关心底层操作系统，这类似船舶使用的集装箱，可以便捷地装配到轮船、汽车等运载工具上。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"image","attrs":{"src":"https:\/\/static001.infoq.cn\/resource\/image\/31\/ca\/311f4b85c55885859f38d88f0fa923ca.png","alt":null,"title":null,"style":null,"href":null,"fromPaste":true,"pastePass":false}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"这种做法往往具有以下优点："}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"bulletedlist","content":[{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"不仅能节约时间，快速部署和启动（秒级甚至毫秒级），还能节约成本，相于较虚拟机动辄几个G的磁盘空间，docker容器可以减少到MB级；"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"方便部署，直接运行已经配好的容器，解决开发人员由于安装环境带来的部署困难；docker的镜像提供了除内核外完整的运行时环境，确保环境一致性，从而不会在出现“这段代码在我机器上没问题”这类问题；"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"方便持续集成，通过与代码进行关联使持续集成非常方便；"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"方便构建基于SOA架构或微服务架构的系统，通过服务编排，更好的松耦合；"}]}]},{"type":"listitem","attrs":{"listStyle":null},"content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"标准化应用发布，可以多平台部署。"}]}]}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"02 训练"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在实际生产中进行联邦学习训练时，不仅要考虑到系统的耦合性、稳定性，还要考虑业务需求对接多个数据源，需要支持市面上的各种计算引擎如Spark、Flink、Storm等，抑或需要满足高可用进行集群部署等等。因此，为了应对复杂的业务需求，对系统的各个组件，我们往往需要在灵活与便捷之间寻找一个平衡点。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}