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Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks.

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Title: Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks.
Authors: Moya, Christian1 (AUTHOR), Lin, Guang2 (AUTHOR) guanglin@purdue.edu
Source: Algorithms. Sep2022, Vol. 15 Issue 9, p325-325. 15p.
Database: Academic Search Ultimate
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  Data: Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks.
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  Data: <searchLink fieldCode="AR" term="%22Moya%2C+Christian%22">Moya, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Guang%22">Lin, Guang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> guanglin@purdue.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Algorithms%22">Algorithms</searchLink>. Sep2022, Vol. 15 Issue 9, p325-325. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=159274889
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        Value: 10.3390/a15090325
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        Text: English
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        PageCount: 15
        StartPage: 325
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      – TitleFull: Fed-DeepONet: Stochastic Gradient-Based Federated Training of Deep Operator Networks.
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              M: 09
              Text: Sep2022
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              Y: 2022
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