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<div style="color:rgb(0,0,0)" class="gmail_default"><p class="MsoNormal" style="text-align:center;margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:12pt;line-height:107%">Special
Issue on Emerging Information Processing and Management Paradigms: Edge
Intelligence, Federated Learning, and Blockchain <span></span></span></b></p>
<p class="MsoNormal" style="text-align:center;margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:12pt;line-height:107%">A Special
Issue for <i>Information Processing & Management </i>(IP&M), Elsevier</span></b><span style="font-size:12pt;line-height:107%"><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="color:red">Note</span></b><span style="color:red">: This special issue is a Thematic Track at IP&MC2022 conference,
<span style="color:red">The authors of accepted papers will
be obligated to participate in IP&MC 2022 and present the paper <br></span></span></p><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="color:red"><span style="color:red">to the
community to receive feedback.</span><b><br></b></span></p><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="color:red"><b>For more information about IP&MC2022, please visit</b></span><b> </b><a href="https://www.elsevier.com/events/conferences/information-processing-and-management-conference" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><b>https://www.elsevier.com/events/conferences/information-processing-and-management-conference</b></a><b>.</b><span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="color:red">IP&MC2022 will take during 20-23
October 2022 | Xiamen, China <span></span></span></b></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p><b>Call-for-Papers<span></span></b>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>Aims and Scope:</u><span></span></b></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Our ever-increasing ability to allocate, process, and
extract valuable information at the network's edge triggered many modern
applications like autonomous vehicles, network softwarization, smart cities
applications, connected health systems, and industrial IoT, etc. However, such
applications require high communication latency with real-time response and
trustworthy models. Decentralizing the data analytics beyond the traditional
cloud silos is critical, with several requirements to be accommodated. The
recent emerging edge/fog capacities as a supporting and complementary
infrastructure for the centralized cloud systems provide a golden opportunity
by harnessing decentralized machine intelligence abilities to make decisions in
the right place and time. Moreover, the emergence of distributed machine
learning techniques with specific applications of Federated Learning improves
user data privacy and trust throughout the complete system being applied.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">A futuristic paradigm spear-headed known as Edge
Intelligence (EI) is taking shape so that AI/ML services occur close to where
data is captured. EI is expected to improve the agility of big data services
and leverage resources located at the edge of the network and along the
continuum between the cloud and the IoT. Nevertheless, addressing the
deployment complexity, security, privacy, and trust of the edge resources is of
paramount importance. Also, achieving this vision required synergizing the
border communication system advances, including big data, distributed machine learning,
Blockchain technology, and privacy-preserving federated learning.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">The main objective of this track is to solicit papers at the
intersection of these technologies. This track will provide a venue for
researchers, scientists, industry experts, and practitioners to share their
novel research results on recent advances in Edge Intelligence, Federated
Learning, and Blockchain architectures and applications. High-quality research
contributions describing original and unpublished constructive, empirical, experimental,
and theoretical work in EI are invited to submit their timely findings.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>Recommended Topics:</u><span></span></b></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Topics to be discussed in this track include (but are not
limited to) Architectures and Applications in the following:<span></span></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Distributed and federated machine
learning in edge computing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Theory and Applications of EI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Middleware and runtime systems for EI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Programming models compliant with EI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Scheduling and resource management for
EI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Data allocation and application
placement strategies for EI<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Osmotic computing with edge continuum,
Microservices and MicroData architectures<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">ML/AI models and algorithms for load
balancing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Theory and Applications of federated
learning<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Federated learning and
privacy-preserving large-scale data analytics<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">MLOps and ML pipelines at edge computing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Transfer learning, interactive
learning, and Reinforcement Learning for edge computing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Modeling and simulation of EI and
edge-to-cloud environments<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Security, privacy, trust, and
provenance issues in edge computing<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Distributed consensus and blockchains
at edge architecture<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Blockchain networking for Edge
Computing Architecture<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Blockchain technology for Edge
Computing Security<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Blockchain-based access controls for
Edge-to-cloud continuum<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Blockchain-enabled solutions for Cloud
and Edge/Fog IoT systems<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Forensic Data Analytics compliant with
EI<span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b>Important Dates</b><span></span></p>
<table style="width:100%" width="100%" cellspacing="3" cellpadding="0" border="0">
<tbody><tr>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Thematic track manuscript submission due date; authors are
welcome <span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">to submit early as reviews will be rolling<span></span></p>
</td>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="color:rgb(255,0,0)"><b>June 15, 2022<span></span></b></span></p>
</td>
</tr>
<tr>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Author notification<span></span></p>
</td>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">July 31, 2022<span></span></p>
</td>
</tr>
<tr>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">IP&MC conference presentation and feedback<span></span></p>
</td>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">October 20-23, 2022<span></span></p>
</td>
</tr>
<tr>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Post conference revision due date, but authors welcome to
submit earlier<span></span></p>
</td>
<td style="padding:0.75pt">
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">January 1, 2023<span></span></p>
</td>
</tr>
</tbody></table>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><u>Track Editors:</u><span></span></b></p>
<ul style="margin-top:0in;margin-bottom:0in" type="disc"><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Yaser Jararweh, Duquesne University,
USA (<a href="mailto:yaser.amd@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">yaser.amd@gmail.com</a>) (Managing
Editor)<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Feras Awaysheh, University of Tartu,
Estonia (<a href="mailto:feras.awaysheh@ut.ee" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">feras.awaysheh@ut.ee</a>)<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Moayad Aloqaily, MBZUAI, UAE(<a href="mailto:maloqaily@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">maloqaily@ieee.org</a>)<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Nadra Guizani, University of Texas
Arlington, USA (<a href="mailto:nadra.guizani@uta.edu" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">nadra.guizani@uta.edu</a>)<span></span></li><li class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Yuli Yang, University of Lincoln,
United Kingdom (<a href="mailto:yyang@lincoln.ac.uk" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">yyang@lincoln.ac.uk</a>)<span></span></li></ul>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><b><br>
Submission Guidelines</b><span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Submit your manuscript to the Special Issue category (<b>VSI:
IPMC2022 EMERGING</b>) through the online submission system of Information
Processing & Management:<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><a href="https://www.editorialmanager.com/ipm" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">https://www.editorialmanager.com/ipm/</a><span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Authors will prepare the submission following the Guide for
Authors on IP&M journal at (<a href="https://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">https://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors</a>).
All papers will be peer-reviewed following the IP&MC2022 reviewing
procedures.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="color:red">The authors of accepted papers will
be obligated to participate in IP&MC 2022 and present the paper to the
community to receive feedback. The accepted papers will be invited for revision
after receiving feedback on the IP&MC 2022 conference. </span>The
submissions will be given premium handling at IP&M following its
peer-review procedure and, (if accepted), published in IP&M as full journal
articles, with also an option for a short conference version at IP&MC2022.<span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">Please see this infographic for the manuscript flow:<br>
<a href="https://www.elsevier.com/__data/assets/pdf_file/0003/1211934/IPMC2022Timeline10Oct2022.pdf" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">https://www.elsevier.com/__data/assets/pdf_file/0003/1211934/IPMC2022Timeline10Oct2022.pdf</a><span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif">For more information about IP&MC2022, please visit:<a href="https://www.elsevier.com/events/conferences/information-processing-and-management-conference" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">https://www.elsevier.com/events/conferences/information-processing-and-management-conference</a><span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span> </span></p>
</div><br>
</div>
</div></div>