Textbook of AI

References

Communication-Efficient Learning of Deep Networks from Decentralized Data

H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, & Blaise Agüera y Arcas (2016)

arXiv.

DOI: https://doi.org/10.48550/arxiv.1602.05629

Abstract. Introduces federated learning and the FederatedAveraging algorithm, which trains a shared global model by exchanging only model updates rather than raw training data between a central server and participating clients.

Tags: privacy federated-learning

This site is currently in Beta. Contact: Chris Paton

Textbook of Usability · Textbook of Digital Health

Auckland Maths and Science Tutoring

AI tools used: Claude (research, coding, text), ChatGPT (diagrams, images), Grammarly (editing).