Analysis of mobility based COVID-19 epidemic model using federated multitask learning

DOI10.3934/mbe.2022466OpenAlexW4285412725MaRDI QIDQ2688738

Miles Kumaresan, Nehal Muthukumar, M. Senthil Kumar

Publication date: 5 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022466

zbMATH Keywords

epidemic modelmulti-task learningCOVID-19federated learning

Mathematics Subject Classification ID

Epidemiology (92D30)

Uses Software

• GitHub
• LEAF

Cites Work

• Convex multi-task feature learning
• Epidemics, the Ising-model and percolation theory: a comprehensive review focused on Covid-19
• Design of a nonlinear model for the propagation of COVID-19 and its efficient nonstandard computational implementation
• Optimal and sub-optimal quarantine and isolation control in SARS epidemics

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