TravellingFL: communication efficient peer-to-peer federated learning

TravellingFL: communication efficient peer-to-peer federated learning

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...

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

Internet

https://hdl.handle.net/10356/173391

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