Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202922
Abstract: 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… read more here.
Keywords: learning hospital; federated learning; decentralised federated; covid detection ... See more keywords
Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3185672
Abstract: Recently academia and industry has growing interest in the sixth generation network, which aims to support a rich range of applications with higher capacity and greater coverage than existing 5G connections. One of such promising… read more here.
Keywords: data distribution; federated learning; decentralised federated; energy efficient ... See more keywords