<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>3097</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>3502</pageFirst>
    <pageLast>3508</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Piscataway</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-02-16</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS</title>
    <parentTitle language="eng">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)</parentTitle>
    <identifier type="isbn">978-1-6654-6880-0</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="BibtexRecord">https://doi.org/10.1109/ITSC55140.2022.9922064</enrichment>
    <enrichment key="THI_conferenceName">2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Beijing and Macau (China) &amp; online, 18.09. - 12.10.2022</enrichment>
    <author>
      <first_name>Rui</first_name>
      <last_name>Song</last_name>
    </author>
    <author>
      <first_name>Liguo</first_name>
      <last_name>Zhou</last_name>
    </author>
    <author>
      <first_name>Venkatnarayanan</first_name>
      <last_name>Lakshminarasimhan</last_name>
    </author>
    <author>
      <first_name>Andreas</first_name>
      <last_name>Festag</last_name>
    </author>
    <author>
      <first_name>Alois</first_name>
      <last_name>Knoll</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Training</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data privacy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Federated learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Roads</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Computational modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data models</value>
    </subject>
    <collection role="institutes" number="19311">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
    <collection role="persons" number="25591">Festag, Andreas</collection>
    <collection role="institutes" number="19569">Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"</collection>
  </doc>
</export-example>
