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Šarūnas Girdzijauskas

Professor in Cloud Computing

Šarūnas Girdzijauskas focuses on developing decentralized AI technologies to overcome the privacy and scalability issues of centralized AI systems. His research, at the intersection of Machine Learning and Distributed Systems, aims to transition AI services to distributed frameworks, utilizing Edge AI. His team works on federated and decentralized algorithms for data mining and machine learning across distributed networks, leveraging edge computing. Additionally, Girdzijauskas contributes to Information Network Analytics and Graph Learning, crucial for analyzing linked data across social, financial, and transportation networks, as well as in fraud detection and recommendation systems. His work employs decentralized learning methods, such as Gossip Learning and Decentralized Graph Neural Networks, to process and gain insights from graph-structured data, fostering advancements in how data is analyzed and utilized in various sectors.

Page responsible:ceremonier@kth.se
Belongs to: About KTH
Last changed: Apr 10, 2024
Anders Andersson
Madeline Balaam
Karin Bradley
Véronique Chotteau
Jens Edlund
Karin Edvardsson Björnberg
Henrik Ernstson
Kerstin Forsberg
Šarūnas Girdzijauskas
Stefan Grönkvist
Dilian Gurov
Kristinn B. Gylfason
Patrik Hilber
Milan Horemuz
Erik Jenelius
Fredrik Johansson
Magnus Johnson
Johan Karlsson
Stefano Markidis
Daniel Månsson
Jenny Paulsson
Christopher Peters
Stephan Roth
Jennifer Ryan
Ragnar Thobaben
Frauke Urban
Francisco Vilaplana
Ming Xiao
Ozan Öktem