Sarunas Girdzijauskas

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Fatemeh RahimianSenior Researcher at RISEVerified email at ri.se
Karl AbererProfessor of Computer and Communication Sciences, EPFLVerified email at epfl.ch
Seif HaridiProfessor of Computer Systems, KTH, RISEVerified email at ri.se
Amir H. PayberahAssistant Professor of Computer Science, KTH, SwedenVerified email at kth.se
Zekarias Tilahun KefatoPostdoc in Machine Learning, Royal Institute of Technology (KTH)Verified email at kth.se
Amira SolimanAssistant Professor at Center for Applied Intelligent Systems Research, Halmstad UniversityVerified email at hh.se
Leila BahriResearch collaborator from the industry @ KTH - StockholmVerified email at kth.se
Anwitaman DattaNanyang Technological University, SingaporeVerified email at ntu.edu.sg
Vladimir VlassovProfessor in Computer Systems, KTH Royal Institute of TechnologyVerified email at kth.se
Muhammad Anis Uddin NasirH&M GroupVerified email at kth.se
Mark JelasityFull Professor, University of SzegedVerified email at inf.u-szeged.hu
Barbara CarminatiProfessor of Computer Science, University of InsubriaVerified email at uninsubria.it
Elena FerrariUniversity of InsubriaVerified email at uninsubria.it
Manfred HauswirthFull professor TU Berlin and managing director Fraunhofer FOKUSVerified email at tu-berlin.de
Ali GhodsiUC BerkeleyVerified email at cs.berkeley.edu
Alberto MontresorProfessor of Computer Science, University of TrentoVerified email at unitn.it
Aristides GionisKTH Royal Institute of Technology, and Aalto UniversityVerified email at kth.se
Gregory ChocklerProfessor, University of SurreyVerified email at surrey.ac.uk
Stefanos AntarisKTH Royal Institute of TechnologyVerified email at kth.se
Nicolas KourtellisResearch Scientist, Telefonica ResearchVerified email at telefonica.com

Sarunas Girdzijauskas

Associate Professor of Computer Science, Royal Institute of Technology (KTH), Sweden

Verified email at kth.se - Homepage

Decentralized Machine Learning Information Network Analytics Graph Learning Decentralized Learning


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The essence of P2P: A reference architecture for overlay networks K Aberer, LO Alima, A Ghodsi, S Girdzijauskas, S Haridi, M Hauswirth Fifth IEEE International Conference on Peer-to-Peer Computing (P2P'05), 11-20, 2005	205	2005
Ja-be-ja: A distributed algorithm for balanced graph partitioning F Rahimian, AH Payberah, S Girdzijauskas, M Jelasity, S Haridi 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing …, 2013	126	2013
Human activity recognition using federated learning K Sozinov, V Vlassov, S Girdzijauskas 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018	96	2018
Vitis: A gossip-based hybrid overlay for internet-scale publish/subscribe enabling rendezvous routing in unstructured overlay networks F Rahimian, S Girdzijauskas, AH Payberah, S Haridi 2011 IEEE International Parallel & Distributed Processing Symposium, 746-757, 2011	82	2011
Distributed vertex-cut partitioning F Rahimian, AH Payberah, S Girdzijauskas, S Haridi Distributed Applications and Interoperable Systems: 14th IFIP WG 6.1 …, 2014	65	2014
Magnet: practical subscription clustering for internet-scale publish/subscribe S Girdzijauskas, G Chockler, Y Vigfusson, Y Tock, R Melamed Proceedings of the Fourth ACM International Conference on Distributed Event …, 2010	63	2010
A distributed algorithm for large-scale graph partitioning F Rahimian, AH Payberah, S Girdzijauskas, M Jelasity, S Haridi ACM Transactions on Autonomous and Adaptive Systems (TAAS) 10 (2), 1-24, 2015	47	2015
When trust saves energy: a reference framework for proof of trust (PoT) blockchains L Bahri, S Girdzijauskas Companion Proceedings of the The Web Conference 2018, 1165-1169, 2018	43	2018
Gossip learning: Off the beaten path L Giaretta, Š Girdzijauskas 2019 IEEE International Conference on Big Data (Big Data), 1117-1124, 2019	36	2019
Short-term traffic prediction using long short-term memory neural networks Z Abbas, A Al-Shishtawy, S Girdzijauskas, V Vlassov 2018 IEEE International Congress on Big Data (BigData Congress), 57-65, 2018	34	2018
Pedestrian trajectory prediction with convolutional neural networks S Zamboni, ZT Kefato, S Girdzijauskas, C Norén, L Dal Col Pattern Recognition 121, 108252, 2022	33	2022
Mapping moving landscapes by mining mountains of logs: novel techniques for dependency model generation M Steinle, K Aberer, S Girdzijauskas, C Lovis VLDB 6, 1093-1102, 2006	33	2006
On small world graphs in non-uniformly distributed key spaces S Girdzijauskas, A Datta, K Aberer 21st International Conference on Data Engineering Workshops (ICDEW'05), 1187 …, 2005	30	2005
Self-supervised graph neural networks without explicit negative sampling ZT Kefato, S Girdzijauskas arXiv preprint arXiv:2103.14958, 2021	27	2021
On routing in distributed hash tables F Klemm, S Girdzijauskas, JY Le Boudec, K Aberer Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007 …, 2007	27	2007
On de Bruijn routing in distributed hash tables: there and back again A Datta, S Girdzijauskas, K Aberer Proceedings. Fourth International Conference on Peer-to-Peer Computing, 2004 …, 2004	27	2004
Distributed Hash Table. W Galuba, S Girdzijauskas Encyclopedia of database systems, 903-904, 2009	26	2009
Fully Dynamic Algorithm for Top-k Densest Subgraphs MAU Nasir, A Gionis, GDF Morales, S Girdzijauskas Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	25	2017
Locality-awareness in a peer-to-peer publish/subscribe network F Rahimian, T Le Nguyen Huu, S Girdzijauskas Distributed Applications and Interoperable Systems: 12th IFIP WG 6.1 …, 2012	25	2012
Oscar: Small-world overlay for realistic key distributions S Girdzijauskas, A Datta, K Aberer Lecture Notes in Computer Science 4125, 247, 2007	25	2007

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