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

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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.

Read more about the IEEE Sarnoff Symposium https://ewh.ieee.org/conf/sarnoff/2019

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.

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