[HTML][HTML] Federated learning with hyper-network—A case study on whole slide image analysis
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - nature.com
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …
Federated learning with hyper-network—a case study on whole slide image analysis
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - ui.adsabs.harvard.edu
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …
Federated learning with hyper-network-a case study on whole slide image analysis
Y Lin, H Wang, W Li, J Shen - Scientific reports, 2023 - pubmed.ncbi.nlm.nih.gov
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …
Federated learning with hyper-network-a case study on whole slide image analysis.
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - europepmc.org
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …
[PDF][PDF] Federated learning with hyper‑network—a case study on whole slide image analysis
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - academia.edu
Method Preliminary. Perhaps the most known and commonly used FL algorithm is FedAvg
which was initially proposed by McMahan et al. 13 and then extended for medical image …
which was initially proposed by McMahan et al. 13 and then extended for medical image …
[HTML][HTML] Federated learning with hyper-network—a case study on whole slide image analysis
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - ncbi.nlm.nih.gov
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …
Federated learning with hyper-network—a case study on whole slide image analysis.
Y Lin, H Wang, W Li, J Shen - Scientific Reports, 2023 - search.ebscohost.com
Federated learning (FL) is a new kind of Artificial Intelligence (AI) aimed at data privacy
preservation that builds on decentralizing the training data for the deep learning model. This …
preservation that builds on decentralizing the training data for the deep learning model. This …