Training AI Models with Federated Learning

Channel:
United States IBM Technology
Subscribers:
1,190,000
Published on ● Video Link: https://www.youtube.com/watch?v=zqv1eELa7fs


Duration: 6:27
7,456 views
272

Explore watsonx.ai → https://ibm.biz/Bdy4qU

Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications. In this video, Martin Keen discusses the forms, benefits and challenges of federated learning.

Get started for free on IBM Cloud → https://ibm.biz/sign-up-now
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now

#ai #watsonx #llm



Other Videos By IBM Technology


2023-07-26Cybersecurity Architecture: Detection
2023-07-25Mainframe and Containers - Fit for Purpose
2023-07-24IBM Tech Now: IBM Security's Cost of a Data Breach 2023, including key findings and recommendations
2023-07-21Cybersecurity Modernization
2023-07-19Cybersecurity Architecture: Data Security
2023-07-17NumPy vs SciPy
2023-07-14What is Sovereign Cloud?
2023-07-12Cybersecurity Architecture: Application Security
2023-07-11Data Lakehouse Architecture & Use-Cases
2023-07-10IBM Tech Now: IBM AIOps Insights, New IBM Turbonomic tools and the G2 Summer Reports
2023-07-07Training AI Models with Federated Learning
2023-07-05Cybersecurity Architecture: Networks
2023-07-03How To Defend Your Website Against Bad Bots - Experience Report
2023-06-30What is Malware? Let's Hear the Hacker's Viewpoint
2023-06-292023 Call for Code Global Challenge
2023-06-28Endpoints Are the IT Front Door - Guard Them
2023-06-27Moving Data to the Cloud - Experience Report
2023-06-26IBM Tech Now: The Age of Quantum Utility and IBM Storage Defender
2023-06-22What is Back Propagation
2023-06-20Who Are You? Identity and Access Management Really Wants to Know
2023-06-19Python Loves the Mainframe and Data Science


Tags:
IBM
IBM Cloud