Staleness aware semi-asynchronous federated learning
As the attempts to distribute deep learning using personal data have increased, the importance of federated learning (FL) has also increased. Attempts have been made to overcome the core challenges of federated learning (i.e., statistical and system heterogeneity) using synchronous or asynchronous p...
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Published in | Journal of parallel and distributed computing Vol. 193; p. 104950 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.11.2024
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Subjects | |
Online Access | Get full text |
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