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

https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzE4MjZkZGItZWE3NS00NzQ5LTk0OTItNWMzMzE3NjdkYjU4%40thread.v2/0?context=%7b%22Tid%22%3a%226ae07702-c5f7-4f38-9b87-acad62a75d93%22%2c%22Oid%22%3a%22700280a8-c91f-41bd-9bf8-38b7959b4a6f%22%7d  


 
 

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

 
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Antonis Athanassopoulos, an Assistant Professor at the Computer Science Department of George Mason University,USA, and a Lead Researcher at Archimedes, Athena Research Center, Greece, was one of the keynote speakers at the Athens NLP 2025 Summer School, held at the National Centre for Scientific Research Demokritos in Greece, from 4 to 10 September 2025.His presentation on "Machine Translation and Low-Resource NLP" is now available online.

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

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Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026

16 March 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).

More news items here
 
 

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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