Introduction to Federated Learning
Vaneeza Mobin · 2024
This chapter unravels the captivating exploration of federated learning (FL), deepening concepts of collaborative intelligence and its evolution. Starting with the historical background and rise of collaborative models, this chapter unveils the principles and benefits that govern FL. Extending to the evolution of machine learning within distributed systems, this chapter aims to trace the path that culminates in FL advancements. As we go further this chapter presents the challenges encountered in FL implementation, considering the privacy and security issues, exemplifying real-world problems that highlight the transformative potential of collaborative intelligence. This chapter concludes with the expected future developments and advancements in federated learning. This chapter aims to form a foundation for the exploration of FL, realms of collaborative intelligence, and the promising future of machine learning in distributed environments.