archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Federated Learning: Ομιλία Δρ. Δ. Δημητριάδη (Principal Applied Scientist at Amazon)

Dates
2023-07-25 11:30 - 12:30
Venue
Zampolli

Καλημέρα σας,
 
την ερχόμενη Τρίτη θα έχουμε τη χαρά να φιλοξενήσουμε στο κτίριο της Αθήνας τον Δρ. Δημήτρη Δημητριάδη, Principal Appied Scientist at Amazon, που θα μας μιλήσει για: 
 
"Federated Learning: New Approaches in Learning and Applications to Lifelong Learning"
 
Abstract: New demands in data management are emerging nowadays. Some of these constraints are driven by the need for privacy compliance of the personal data and some of them by the need to train bigger, better, faster models. As such, increasingly more data is stored behind inaccessible firewalls or on users' devices without the option of sharing for centralized training. To this end, the Federated Learning (FL) paradigm has been proposed, addressing the privacy concerns, while still processing such inaccessible data in a continual manner. However, FL doesn't come as a free lunch and new technical challenges havε emerged. Herein, we will present some new ways of addressing such challenges while federating heterogeneous models, dealing with the dynamic nature of learning or in applications such as wakeword detection.
 
Και λίγα περισσότερα λόγια για τον Δρ. Δημήτρη Δημητριάδη:
Dr. D. Dimitriadis is Principal Applied Scientist in Amazon, where he is currently the technical lead for Federated Learning and Analytics across the company, Continual and Semi-supervised Learning. He has worked in Microsoft Research, IBM Research and AT&T Labs (2009-14), lecturer P.D 407/80 at the School of ECE, NTUA, Greece. He is a Senior Member of IEEE and has served as a chair in several conferences and workshops. He has published more than 100 papers in peer-reviewed scientific journals and conferences with 3000 citations. He received his PhD degree from NTUA in February 2005. His PhD Thesis Title is "Non-Linear Speech Processing, Modulation Models and Applications to Speech Recognition".
 
Η παρουσίαση θα γίνει στην Αίθουσα Zampolli και θα μεταδοθεί και διαδικτυακά.
 
Σας περιμένουμε,
Νάσος
 
 
 
 

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
11 Papers Accepted at NeurIPS 2025!

11 Papers Accepted at NeurIPS 2025!

We are happy to announce that 11 papers from Archimedes, Athena Research Center, Greece, have been accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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