Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection

Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection

Federated Learning (FL) is a distributed machine learning technique which enables local learning of global machine learning models without the need of exchanging data. The original FL algorithm, Federated Averaging (FedAvg), is extended in this work by means of consensus theory. Differently from sta...

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Bibliographic Details
Main Authors: Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Cecilia Poli, Antonio Pietrabissa
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Federated learning
heuristic algorithms
deep neural networks
distributed systems
consensus
COVID-19 detection
Online Access:https://ieeexplore.ieee.org/document/9869827/

Internet

https://ieeexplore.ieee.org/document/9869827/

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