Federated Machine Learning with TensorFlow
AI/Machine Learning
• November 2021
Federated Machine Learning with TensorFlow
About
Federated Machine Learning with TensorFlow
About
"Traditional" Machine Learning systems require a centralized training process that requires, in addition, collecting and processing data systems which tend to increase the complexity of the learning process and in many cases limit the capacity of the system due to the lack of privacy, the cost of infrastructure and the volume of data that must be stored prior to training.
In order to alleviate some of these problems, Google has developed what is known as Federated Machine Learning which allows to train into the edge without data sharing keeping the privacy and minimizing the data transfer.
Language
English
Level
Beginner
Length
33 minutes
Type
online conference
About the speaker
About the speaker
Moisés Martínez
Data & AI Lead •
Paradigma Digital
Artificial Intelligence (AI) Lead en Paradigma Digital. Doctor en ciencias de la computación e Inteligencia Artificial por la Universidad Carlos III de Madrid y Data Scientist en mis ratos libres. En los últimos años he sido investigador y/o profesor de diferentes sabores de AI en universidades como la Universidad Carlos III de Madrid, la Universidad de Örebro y el King's College London. Además, he sido Speaker en conferencias nacionales e internacionales y soy uno de los orgullosos organizadores de T3chFest, el evento sobre tecnología gratuito más grande de España y tal vez de Europa.
Details
Language
English
Level
Beginner
Length
33 minutes
Type
online conference
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Related tags