English中文
将人工智能用起来
2019年6月18-21日
北京,中国

The future of machine learning is decentralized

This will be presented in English.

Alex Ingerman (Google)
13:1013:50 Thursday, June 20, 2019

必要预备知识 (Prerequisite Knowledge)

  • A basic understanding of machine learning (ML) applications and distributed ML approaches
  • Familiarity with the TensorFlow framework (useful but not required)

您将学到什么 (What you'll learn)

  • Learn what federated learning is, how it's different from the traditional ML approach, and how it interacts with other privacy-preserving technologies
  • Understand how Google uses large-scale real-world uses of federated learning in Google products, including end-to-end systems overview
  • Discover how to try out federated learning on your own data and TensorFlow models and evaluate the results

描述 (Description)

With the advent of connected devices with computation and storage capabilities, it’s now possible for you to run machine learning workflows entirely on device.

Alex Ingerman examines federated learning and other technologies that enable devices to collaboratively and securely learn ML models while retaining all data locally. Federated learning improves upon traditional, fully centralized approaches by reducing the costs and risks related to sensitive data handling, working better in bandwidth- and power-constrained environments, and providing a straightforward, effective mechanism for personalization at scale. It puts users back in control of their data while still enabling developers to build intelligent applications that leverage insights from that data. Federated learning is already used at scale by Google.

Photo of Alex Ingerman

Alex Ingerman

Google

Alex Ingerman is a product manager at Google AI, focusing on federated learning and other privacy-preserving technologies. His mission is to enable all ML practitioners to protect their users’ privacy by default. Previously, Alex worked on ML-as-a-service platforms for developers, web-scale search, content recommendation systems, and immersive data exploration and visualization. Alex lives in Seattle, where as a frequent bike and occasional kayak commuter, he has fully embraced the rain. Alex holds a BS in computer science and an MS in medical engineering.

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