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
 
 
 
 

________________________________________________________________________________
Σύσκεψη Microsoft Teams
Συμμετοχή από τον υπολογιστή, την κινητή συσκευή σας ή τη συσκευή δωματίου σας
Κάντε κλικ εδώ για να συμμετάσχετε στη σύσκεψη
Αναγνωριστικό σύσκεψης: 365 298 770 822
Κωδικός πρόσβασης: Kaiood
 
 
 
________________________________________________________________________________
 
 

Vision

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

image
image

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

 
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”

Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).

Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).

6 Accepted Papers at ICLR 2026

6 Accepted Papers at ICLR 2026

The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations.  Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.

 
 

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.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)