<p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024.</span><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">&#xa0;</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:&#xa0;&#xa0;</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Edge computing &amp; Task scheduling</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Deep Learning and application</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Blockchain applications</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Security and Privacy Protection</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Representation learning &amp; Collaborative working</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Graph neural networks &amp; Recommendation systems</span></p><p class="MsoNormal" style="mso-layout-grid-align: none; text-autospace: none;"><span style="font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-family: LMRoman10-Bold-Identity-H; mso-bidi-font-weight: bold;">Federated Learning and application</span></p>

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Collaborative Computing: Networking, Applications and Worksharing

摘要

The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024. 

The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:  

Edge computing & Task scheduling

Deep Learning and application

Blockchain applications

Security and Privacy Protection

Representation learning & Collaborative working

Graph neural networks & Recommendation systems

Federated Learning and application