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<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">Dear AI scientist/engineer/student/enthusiast,</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">Please,
consider attending to our next Excellence Lecture:</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><u><span
style="font-size:18.0pt;font-family:"Calibri",sans-serif;color:#236FA1">"Decentralized
DNN Architectures for Visual Data Analysis"</span></u></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><i><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">Dr.
Ioannis Pitas (AUTH, CERTH) </span></i></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">Abstract:
This lecture overviews decentralized and
distributed DNN architectures and their
implementation in cloud/edge environments. Big
data analysis can be greatly facilitated if
decentralized/distributed DNN architectures are
employed that interact with each other for DNN
training and/or inference using the human
Teacher-Student education paradigm. A novel
Learning-by-Education Node Community (LENC)
framework is presented that facilitates
communication and knowledge exchange among diverse
Deep Neural Networks (DNN) agents, undertaking the
role of a student or teacher DNN by offering or
absorbing knowledge respectively. The framework
enables efficient and effective knowledge transfer
among participating DNN agents while enhancing
their learning capabilities and fostering their
collaboration among diverse networks. The proposed
framework addresses the challenges of handling
diverse training data distributions and the
limitations of individual DNN agent learning
abilities. The LENC framework ensures the
exploitation of the best available teacher
knowledge upon learning a new task and protects
the DNN agents from catastrophic forgetting. The
experiments demonstrate the LENC framework
functionalities on multiple teacher-student
learning techniques and their integration with
lifelong learning. Our experiments manifest the
LEMA framework’s ability to maximize the accuracy
of all participating DNN agents in classification
tasks by leveraging the collaborative knowledge of
the framework. A LENC framework implementation in
cloud/edge environments is also overviewed.
Applications are presented in big visual data
analysis tasks for Natural Disaster Management.</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1"> <strong><span
style="font-family:"Calibri",sans-serif">Details</span></strong></span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Segoe UI Emoji",sans-serif;color:#236FA1">📅</span></strong><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">
Date: 24 February 2026</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Segoe UI Emoji",sans-serif;color:#236FA1">⏰</span></strong><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">
Time</span></strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">: <strong><span
style="font-family:"Calibri",sans-serif">17:00-18:00 CET</span></strong></span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Segoe UI Emoji",sans-serif;color:#236FA1">💻</span></strong><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">
<a
href="https://authgr.zoom.us/j/99720671240?pwd=6g6SPyvBn3i75RzZhb3X7z4G4r6Pw3.1"
moz-do-not-send="true"><span
style="color:#236FA1">Zoom lin</span><span
style="color:#236FA1">k</span></a></span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">Meeting
ID: 997 2067 1240</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">Passcode:
114050</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1"> </span></strong><strong><span
style="font-size:10.0pt;font-family:"Segoe UI Emoji",sans-serif;color:#236FA1">🔗</span></strong><strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif;color:#236FA1">
For more information, click </span></strong><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">here</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1"> Lecturer
Short CV: </span></strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif;color:#236FA1">Ioannis
Pitas (IEEE fellow, IEEE Distinguished Lecturer,
EURASIP fellow) received the Diploma and PhD degree
in Electrical Engineering, both from the Aristotle
University of Thessaloniki (AUTH), Greece. He is
Principal Researcher at AUTH and CERTH/ITI. In the
period 1994-2025, he has been a Professor at the
Department of Informatics of AUTH. He has been
Director of the Artificial Intelligence and
Information Analysis (AIIA) lab (1999-2025). He has
served as a Visiting Professor at several
Universities. He is Principal Researcher in AUTH and
CERTH/ITI. His current interests are in the areas of
computer vision, machine learning, autonomous
systems, intelligent digital media, image/video
processing, human-centred computing, affective
computing, 3D imaging and biomedical imaging. He has
published over 980 papers, contributed to 48 books
in his areas of interest and edited or (co-)authored
another 16 books. He has also been member of the
program committee of many scientific conferences and
workshops. In the past he served as Associate Editor
or co-Editor of 23 international journals and
General or Technical Chair of 5 international
conferences. He delivered 171 keynote/invited
speeches worldwide. He co-organized 38 conferences
and participated in technical committees of 291
conferences. He participated in 75+ R&D
projects, primarily funded by the European Union and
is/was principal investigator in 47 such projects.
He is the coordinator of the Horizon Europe R&D
project TEMA ( <a href="https://tema-project.eu/"
moz-do-not-send="true"
class="moz-txt-link-freetext">https://tema-project.eu/</a>).
He is chair of the International AI Doctoral Academy
(AIDA) <a href="https://www.i-aida.org/"
moz-do-not-send="true"
class="moz-txt-link-freetext">https://www.i-aida.org/</a>.
He was chair and initiator of the IEEE Autonomous
Systems Initiative <a
href="https://ieeeasi.signalprocessingsociety.org/"
moz-do-not-send="true"
class="moz-txt-link-freetext">https://ieeeasi.signalprocessingsociety.org/</a>.
He has 39400+ citations to his work and h-index 94.
According to <a href="https://research.com/"
moz-do-not-send="true"
class="moz-txt-link-freetext">https://research.com/</a>
he is ranked first in Greece and 319 worldwide in
the field of Computer Science (2022).</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">The <a
href="http://www.i-aida.org/" target="_blank"
moz-do-not-send="true"><strong><span
style="font-family:"Calibri",sans-serif">International AI Doctoral
Academy (AIDA)</span></strong></a> is very
pleased to offer you top quality scientific
lectures </span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">in
the framework of <a
href="https://www.i-aida.org/event_cat/ai-lectures/" target="_blank"
moz-do-not-send="true">AIDA AI Excellence Lecture Series</a> on
several current hot AI topics.</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">These
lectures are disseminated through multiple channels
and email lists (we apologize if you received it
through various channels). If you want to stay
informed on future lectures, you can register in the
email lists <a
href="https://lists.auth.gr/sympa/info/aida"
target="_blank" moz-do-not-send="true">AIDA email
list</a> and <a
href="https://lists.auth.gr/sympa/info/cvml"
target="_blank" moz-do-not-send="true">CVML email
list</a>.</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif"> </span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">Best
regards</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><strong><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">Prof.
Enrique Alba</span></strong><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">University
of Málaga (SPAIN)</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
<p class="v1v1msonormal"><span
style="font-size:10.0pt;font-family:"Calibri",sans-serif">AIDA
AI Excellence Lecture Series Committee Chair</span><span
style="font-size:10.0pt;font-family:"Verdana",sans-serif"><o:p></o:p></span></p>
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