Federated Learning Explained: Concepts, Benefits, and Practical Applications скачать в хорошем качестве

Federated Learning Explained: Concepts, Benefits, and Practical Applications

This video explains the core concept of federated machine learning without getting into technical details. While federated learning is often recognized for its privacy-preserving capabilities, this video highlights additional benefits that could be transformative for various industries through a simple example. The video covers: 1 - The need for federated learning. 2 - How it works, for a non-technical audience. 3 - Benefits that go beyond privacy-preserving training. Important links: Scaleout Systems: https://www.scaleoutsystems.com/ FEDn Framework: https://www.scaleoutsystems.com/frame... Quickstack guide: https://fedn.readthedocs.io/en/stable... Contact information: LinkedIn:   / scaleout-systems   Discord:   / discord   #federatedlearning #artificialintelligence #privacy #machinelearning #artificialintelligence #distributedcomputing #mlmodels #security #iot #network #modeltraining #edgecomputing