Federated Learning for Networking - Anwar Walid - IEEE Sarnoff Symposium, 2019

  • 92 views


  • Download
  • Share
    Conference Highlights
  • #IEEE
  • #ComSoc
  • #Sarnoff
  • #2019
  • #6G
  • #5G
  • #IoT
  • #Cloud
  • #Analytics
  • #Networks
  • #Artificial Intelligence
  • #Machine Learning
  • #Data Science
  • #Orchestration
  • #Open Source
  • #learning
  • #federated learning
  • #collaborative learning
  • #central learning
  • #communication
  • #dynamic sampling
  • #selective masking
  • #optimization

Anwar Walid, Nokia Bell Labs, defines “Federated Learning” and how to train global machine learning for massive quantities of decentralized data. Walid reviews use cases that include collaborative learning, network slicing, service orchestration, and various types of learning.

More

  • Published on
  • January 31, 2020

Avatar

Biography

Videos with