TravellingFL: communication efficient peer-to-peer federated learning

• Main Authors: Gupta, Vansh, Luqman, Alka, Chattopadhyay, Nandish, Chattopadhyay, Anupam, Niyato, Dusit
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Communication Efficiency; Deep Learning (Machine Learning)
• Online Access: https://hdl.handle.net/10356/173391
• Institution: Nanyang Technological University

Peer-to-Peer federated learning is a distributed machine learning paradigm with a primary goal of learning a well-performing global model by collaboratively learning a shared model at different data hubs without the need of sharing data. Due to its immense practical applications, there is growing at...