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		<timestamp>1791491020</timestamp>
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			<depositor_name>Institute for Advanced Materials Research Press</depositor_name>
			<email_address>info@iamrp.net</email_address>
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		<registrant>Institute for Advanced Materials Research Press</registrant>
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		<journal>
			<journal_metadata>
				<full_title>Journal of Computational and Data-Driven Materials Engineering</full_title>
				<abbrev_title>J. Comput. Data-Driven Mater. Eng.</abbrev_title>
				<issn>3149-9368</issn>
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			<journal_issue>
				<publication_date>
					<year>2025</year>
				</publication_date>
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					<volume>4</volume>
				</journal_volume>
				<issue>2</issue>
			</journal_issue>
			<journal_article publication_type="full_text">
				<titles>
					<title>Position: Federated Learning for Proprietary Materials Databases — Privacy-Preserving Training without Centralized Data</title>
				</titles>
								<contributors>
          					<person_name sequence="first" contributor_role="author">
            <given_name>Samuel</given_name>
            <surname>Boateng</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Kwesi</given_name>
            <surname>Mensah</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Kojo</given_name>
            <surname>Asante</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Linda</given_name>
            <surname>Owusu</surname>
					</person_name>
          				</contributors>
								<publication_date>
					<year>2025</year>
				</publication_date>
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