/FATE-Serving

A scalable, high-performance serving system for federated learning models

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FATE-Serving

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Introduction

FATE-Serving is a high-performance, industrialized serving system for federated learning models, designed for production environments.

FATE-Serving now supports

  • High performance online Federated Learning algorithms.
  • Real-time inference using federated learning models.
  • Support parallel inference between guest and host.
  • Support parallel computing in a inference request.
  • Provide service managerment for grpc interface by using zookeeper as registry.
  • Visualization tools are provided for cluster management and model management.

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