[visionlist] Live free 'AIDA AI Excellence e-Lecture' by Dr. Ioannis Pitas (AUTH, CERTH): "Decentralized DNN Architectures for Visual Data Analysis", February 24, 2026 - 17:00 CET

[Ioanna Koroni]

Dear AI scientist/engineer/student/enthusiast,

Please, consider attending to our next Excellence Lecture:

*_"Decentralized DNN Architectures for Visual Data Analysis"_*

*/Dr. Ioannis Pitas (AUTH, CERTH) /*

*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.*

*Details*

*📅**Date: 24 February 2026*

*⏰**Time*: *17:00-18:00 CET*

*💻**Zoom link 
<https://authgr.zoom.us/j/99720671240?pwd=6g6SPyvBn3i75RzZhb3X7z4G4r6Pw3.1>*

*Meeting ID: 997 2067 1240*

*Passcode: 114050*

***🔗**For more information, click **here*

* Lecturer Short CV: *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 ( 
https://tema-project.eu/). He is chair of the International AI Doctoral 
Academy (AIDA) https://www.i-aida.org/. He was chair and initiator of 
the IEEE Autonomous Systems Initiative 
https://ieeeasi.signalprocessingsociety.org/. He has 39400+ citations to 
his work and h-index 94. According to https://research.com/ he is ranked 
first in Greece and 319 worldwide in the field of Computer Science (2022).

The *International AI Doctoral Academy (AIDA)* 
<http://www.i-aida.org/> is very pleased to offer you top quality 
scientific lectures

in the framework of AIDA AI Excellence Lecture Series 
<https://www.i-aida.org/event_cat/ai-lectures/> on several current 
hot AI topics.

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 AIDA email list <https://lists.auth.gr/sympa/info/aida> and CVML 
email list <https://lists.auth.gr/sympa/info/cvml>.

Best regards

*Prof. Enrique Alba*

University of Málaga (SPAIN)

AIDA AI Excellence Lecture Series Committee Chair
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