March 19, 2024, 9 a.m. |

InfoWorld Machine Learning www.infoworld.com



Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning, moving away from the traditional centralized training methods towards more decentralized ones. Data is scattered, and we need to leverage it as training data where it exists.

This paradigm is nothing new. I was playing around with it in the 1990s. What’s old is new again… again. Federated learning allows for the collaborative training of machine learning models across …

ai training artificial intelligence change cloud computing collaborative data data management decentralized federated learning landscape machine machine learning marks moving nothing paradigm training training data

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York