5 citations · 9 across the 2 of their papers we have counts for
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cs.LG2023
Scheduling and Communication Schemes for Decentralized Federated Learning
Bahaa-Eldin Ali Abdelghany, Ana Fernández-Vilas, Manuel Fernández-Veiga +3
Federated learning (FL) is a distributed machine learning paradigm in which a large number of clients coordinate with a central server to learn a model without sharing their own tr…
cs.LG2023★ 4 cited
Using Decentralized Aggregation for Federated Learning with Differential Privacy
Hadeel Abd El-Kareem, Abd El-Moaty Saleh, Ana Fernández-Vilas +2
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between p…