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...
Main Authors: | Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Cecilia Poli, Antonio Pietrabissa |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9869827/ |
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