Federated Learning in IoT Applications
Federated Learning is a technique of machine Learning that aims in preserving the privacy of user data. While in this process it enables the training of a Machine Learning (ML) model. Today I will discuss…
Category: Machine Learning
Challenges in Adopting Federated Learning
To begin with this discussion, we can say that as a new field in Machine Learning, Federated Learning has to overcome many challenges. In this post on Challenges in Adopting Federated Learning, I will highlight…
Privacy and Security Mechanisms for Federated Learning
In this post on Privacy and Security Mechanisms for Federated Learning, I will discuss some of the mechanisms for achieving the privacy in Federated Learning approach. Although, these issues are still the topic of research,…
Prominent Applications of Deep Learning in Agriculture
In this post on Prominent Applications of Deep Learning in Agriculture, I will discuss 10 significant application scenarios. In fact, all such applications can greatly benefit from Deep Learning Techniques. What is Deep Learning? Deep…
Federated Learning Architectures and Their Applications
In this post on Federated Learning Architectures and Their Applications, I will talk about various architectures for implementing Federated Learning and application scenarios of each of them. In my earlier post on Federated Learning, I…
Getting Familiar with Machine Learning – A Beginner’s Tutorial
In this post on Getting Familiar with Machine Learning, I will explain the basic concepts of Machine Learning. Basically, Machine Learning refers to a set of techniques that when imparted in a system allows learning…
Collaborating Model Training using Federated Learning
In this post on Collaborating Model Training using Federated Learning, I will explain how the training of a neural network occurs without the need of collecting the whole training data on a centralized location. Basically,…