FRAMEWORKS FOR TRAINING OF FEDERATED LEARNING MODELS

Methods, apparatus and articles of manufacture to implement frameworks for training of federated learning models are disclosed. Example apparatus disclosed herein are to cause transmission of a first query to a first worker node of a plurality of worker nodes, the first query based on constraints to...

Full description

Saved in:
Bibliographic Details
Main Authors Munoz, Juan Pablo, Verma, Rohit, Raghunath, Arun, Jain, Nilesh Kumar
Format Patent
LanguageEnglish
Published 11.01.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:Methods, apparatus and articles of manufacture to implement frameworks for training of federated learning models are disclosed. Example apparatus disclosed herein are to cause transmission of a first query to a first worker node of a plurality of worker nodes, the first query based on constraints to train a machine learning model. Disclosed example apparatus are also to cause transmission of a second query to a second worker node of the plurality of worker nodes, the second query based on the constraints. Disclosed example apparatus are further to cause transmission of a third query to the first worker node based on comparison of a first score from the first worker node to a second score from the second worker node, the third query instructing the first worker node to train the machine learning model.
Bibliography:Application Number: US202318471128