Federated learning algorithm based on knowledge distillation

Federated learning algorithm based on knowledge distillation

Federated learning is a new scheme of distributed machine learning, which enables a large number of edge computing devices to jointly learn a shared model without private data sharing. Federated learning allows nodes to synchronize only the locally trained models instead of their own private data, w...

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Bibliographic Details
Main Authors: Jiang, Donglin, Shan, Chen, Zhang, Zhihui
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Federated learning; Knowledge distillation; Non-independent-identical-distribution; Heterogeneous network
Online Access:https://eprints.nottingham.ac.uk/65181/

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