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FedScale

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About

FedScale is a scalable and extensible open-source federated learning (FL) engine. It provides high-level APIs to implement FL algorithms, deploy and evaluate them at scale across diverse hardware and software backends. FedScale also includes a FL benchmark that contains FL tasks ranging from image classification and object detection to language modeling and speech recognition. It incorporates comprehensive FL datasets to evaluate real FL deployments, including realistic datasets across ML tasks, deployment scales, and client system traces. It enables FL benchmarking at scale across multiple backends and provides high-level APIs to implement new FL algorithms and systems techniques with ease.

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Task

Features

• scalable platform

• extensible design

• comprehensive fl datasets

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