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[HTML][HTML] A survey on federated learning: challenges and applications

J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - Springer
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …
被引用次数：122 相关文章

A survey on federated learning: challenges and applications

J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2022 - europepmc.org
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …
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[HTML][HTML] A survey on federated learning: challenges and applications

J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - ncbi.nlm.nih.gov
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

A survey on federated learning: challenges and applications

J Wen, Z Zhang, Y Lan, Z Cui… - … journal of machine …, 2023 - pubmed.ncbi.nlm.nih.gov
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …

A survey on federated learning: challenges and applications.

J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2022 - europepmc.org
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …