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pro vyhledávání: '"Meerza, Syed Irfan Ali"'
Autor:
Meerza, Syed Irfan Ali, Liu, Jian
Federated Learning (FL) is a technique that allows multiple parties to train a shared model collaboratively without disclosing their private data. It has become increasingly popular due to its distinct privacy advantages. However, FL models can suffe
Externí odkaz:
http://arxiv.org/abs/2410.02042
Federated learning (FL) has emerged as a prospective solution for collaboratively learning a shared model across clients without sacrificing their data privacy. However, the federated learned model tends to be biased against certain demographic group
Externí odkaz:
http://arxiv.org/abs/2401.03562
Federated learning (FL) provides a variety of privacy advantages by allowing clients to collaboratively train a model without sharing their private data. However, recent studies have shown that private information can still be leaked through shared g
Externí odkaz:
http://arxiv.org/abs/2304.05135
This study aims to determine an optimal control strategy for vaccine scheduling in COVID-19 pandemic treatment by converting widely acknowledged infectious disease model named SEIR into an optimal control problem. The problem is augmented by adding m
Externí odkaz:
http://arxiv.org/abs/2008.10702