Category: Data Analysis

Abstract Federated Learning (FL) represents a novel paradigm in machine learning, where multiple decentralized entities collaboratively train a model without sharing their private data. This paper provides an in-depth analysis of recent advancements in federated learning, focusing on technical innovations, challenges, and applications. We explore the latest algorithms, privacy-preserving techniques, communication-efficient methods, and the integration…

Introduction In today’s data-driven world, businesses are inundated with vast amounts of data from various sources. Effective data analysis can transform this raw data into actionable insights, driving strategic decision-making and fostering business growth. This comprehensive guide delves into how data analysis can be performed and why it is crucial for businesses. Table of Contents…