archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Invited Talk] Privacy in Metalearning and Multitask Learning: Modeling and Separations

Dates
2025-02-12 14:30 - 16:00
Venue
Artemidos 1 - Amphitheater
Title: Privacy in Metalearning and Multitask Learning: Modeling and Separations

Speaker: Konstantina Bairaktari, PhD student in Khoury College of Computer Sciences at Northeastern University

Abstract: Model personalization allows a set of individuals, each facing a different learning task, to train models that are more accurate for each person than those they could develop individually. The goals of personalization are captured in a variety of formal frameworks, such as multitask learning and metalearning. Combining data for model personalization poses risks for privacy because the output of an individual's model can depend on the data of other individuals. In this work we undertake a systematic study of differentially private personalized learning. Our first main contribution is to construct a taxonomy of formal frameworks for private personalized learning. This taxonomy captures different formal frameworks for learning as well as different threat models for the attacker. Our second main contribution is to prove separations between the personalized learning problems corresponding to different choices. In particular, we prove a novel separation between private multitask learning and private metalearning. This talk is based on joint work with Maryam Aliakbarpour, Adam Smith, Marika Swanberg and Jonathan Ullman.

SHORT BIO: Konstantina is a PhD student in Khoury College of Computer Sciences at Northeastern University, where she is advised by Huy Le Nguyen and Jonathan Ullman. Before joining Northeastern, she received her diploma in Electrical and Computer Engineering from the National Technical University of Athens. Her research interests are in theoretical approaches to fairness in machine learning and data privacy


You can also attend online through MS-Teams by following the link below



 
 

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

 
Archimedes Talk by Yuriy Brun on

Archimedes Talk by Yuriy Brun on "LLMs and Mistrust, Discrimination, and Bugs in Software"

On Tuesday 25 November, 2025, from 1:00 pm to 2:30 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Yuriy Brun, Professor at the Manning College of Information & Computer Sciences, University of Massachusetts Amherst, USA, and Visiting Researcher at Archimedes Research Unit, Athena Research Center, Greece, will deliver an Archimedes talk on "LLMs and Mistrust, Discrimination, and Bugs in Software."

BabyLM Challenge Award at EMNLP 2025 Workshop!

BabyLM Challenge Award at EMNLP 2025 Workshop!

Researchers Despoina Kosmopoulou, Efthymios Georgiou, Vaggelis Dorovatas, Georgios Paraskevopoulos, and Alexandros Potamianos from Archimedes, Athena Research Center, Greece, from the National Technical University of Athens, Greece, the University of Bern, Switzerland and the Institute of Language and Signal Processing (ILSP) of the Athena Research Center, Greece, received the BabyLM Challenge Award (Strict track) for NLP tasks at "The First BabyLM Workshop: Accelerating Language Modeling Research with Cognitively Plausible Datasets", which took place in Suzhou, China, during the 30th Annual Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

Two Best Paper Awards at BIBE 2025

Two Best Paper Awards at BIBE 2025

Researchers from the Archimedes Unit of the Athena Research Center, Greece, together with researchers from the Computer Science Department of the University of Crete, Greece; Stelios M. Smirnakis, Associate Neurologist at Brigham and Women’s Hospital, USA and Associate Professor at Harvard Medical School, USA; and Maria Papadopouli, Professor of Computer Science at the University of Crete, Greece, Affiliated Researcher at the Institute of Computer Science, FORTH, Crete, Greece and Lead Researcher at Archimedes, Athena Research Center, Greece, received two Best Paper Awards at the 25th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2025), which took place on November 6-8, 2025 in Athens, Greece.

10 Papers Accepted at EMNLP 2025!

10 Papers Accepted at EMNLP 2025!

The Conference on Empirical Methods in Natural Language Processing (EMNLP) is a major annual conference for researchers in natural language processing, machine learning, and artificial intelligence. It has been organized by the Association for Computational Linguistics (ACL) Special Interest Group on Data (SIGDAT) since 1996 and is celebrating its 30th anniversary this year.

Archimedes Seminar by Mark Girolami, Chief Scientist of the Alan Turing Institute, UK

Archimedes Seminar by Mark Girolami, Chief Scientist of the Alan Turing Institute, UK

On Friday 7 November, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Mark Girolami, Sir Kirby Laing Professor of Civil Engineering within the Department of Engineering at the University of Cambridge, UK, where he also holds the Royal Academy of Engineering Research Chair in Data Centric Engineering, and Chief Scientist of the Alan Turing Institute, UK, will deliver an Archimedes Seminar on "Statistical Finite Element 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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