An Isolated Data Island Benchmark Suite for Federated Learning

17 Aug 2020Yuan LiangYange GuoYanxia GongChunjie LuoJianfeng ZhanYunyou Huang

Federated learning (FL) is a new machine learning paradigm, the goal of which is to build a machine learning model based on data sets distributed on multiple devices--so called Isolated Data Island--while keeping their data secure and private. Most existing work manually splits commonly-used public datasets into partitions to simulate real-world Isolated Data Island while failing to capture the intrinsic characteristics of real-world domain data, like medicine, finance or AIoT... (read more)

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