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11/15/2022
Bayesian Federated Neural Matching that Completes Full Information
Federated learning is a contemporary machine learning paradigm where loc...
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09/19/2021
Capsule networks with non-iterative cluster routing
Capsule networks use routing algorithms to flow information between cons...
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08/28/2021
How likely is a random graph shift-enabled?
The shift-enabled property of an underlying graph is essential in design...
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12/06/2020
Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
In federated learning, models trained on local clients are distilled int...
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02/05/2019