From Centralized to Federated Learning
A summary of dataset distribution techniques for Federated Learning on the CIFAR benchmark dataset —  Federated Learning (FL) is a method to train Machine Learning (ML) models in a distributed setting [1]. The idea is that clients (for example hospitals) want to cooperate without sharing their private and sensitive data. Each client holds their private data in FL and trains an ML model on it…
From Centralized to Federated Learning A summary of dataset distribution techniques for Federated Learning on the CIFAR benchmark dataset —  Federated Learning (FL) is a method to train Machine Learning (ML) models in a distributed setting [1]. The idea is that clients (for example hospitals) want to cooperate without sharing their private and sensitive data. Each client holds their private data in FL and trains an ML model on it… security
Centralized Federated Learning summary dataset distribution technique Federated Learning CIFAR benchmark dataset — Federated Learning FL method train Machine Learning ML model distributed setting 1 idea client example hospital want cooperate without sharing private sensitive data client hold private data FL train ML model it… security