Sustainable Data Management practices in Federated Learning

Abstract

The Challenges faced by IoT applications using Federative Learning are dealt with advanced AI algorithms that can work with a combination of logics and various computations among heterogenous local models. The Sustainable data management methodology helps to provide a solution by creating learning models for dealing these challenges as the edge devices available are of with limited resources and capability, but more competence is expected from them. Devices equipped with advanced AI learning methods and practicing Sustainable data management practices can perform better and be a part of Sustainable development goal of a nation.