Serverless computing has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …

Federated Learning (FL) is a machine learning paradigm that enables the training of a
shared global model across distributed clients while keeping the training data local. While …

Function-as-a-Service (FaaS) platforms have recently gained rapid popularity. Many stateful
applications have been migrated to FaaS platforms due to their ease of deployment …

Because of Covid-19, schools, colleges, and institutions have moved to online learning. The
education system has encountered and continues to encounter various challenges in this …

In recent years, Machine Learning (ML) has made significant progress in being incorporated
into many aspects of our life. While centralized ML paradigms provide good performance …

This book chapter introduces readers to the dynamic and transformative world of serverless
computing. With the focus on agility, scalability, and cost-effectiveness for developing and …

Abstract High-Performance Computing (HPC) workloads are being widely used to solve
complex problems in scientific applications from diverse domains, such as weather …

Serverless computing has gained significant attention due to its cost-effectiveness and
scalability. Despite its advantages, serverless computing faces the critical issue of cold starts …