Sarunas Girdzijauskas
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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
Human activity recognition using federated learning
K Sozinov, V Vlassov, S Girdzijauskas
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
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
Pedestrian trajectory prediction with convolutional neural networks
S Zamboni, ZT Kefato, S Girdzijauskas, C Norén, L Dal Col
Pattern Recognition 121, 108252, 2022
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
Distributed vertex-cut partitioning
F Rahimian, AH Payberah, S Girdzijauskas, S Haridi
Distributed Applications and Interoperable Systems: 14th IFIP WG 6.1 …, 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
Gossip learning: Off the beaten path
L Giaretta, Š Girdzijauskas
2019 IEEE International Conference on Big Data (Big Data), 1117-1124, 2019
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
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
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
Self-supervised graph neural networks without explicit negative sampling
ZT Kefato, S Girdzijauskas
arXiv preprint arXiv:2103.14958, 2021
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
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
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
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
Distributed Hash Table.
W Galuba, S Girdzijauskas
Encyclopedia of database systems, 903-904, 2009
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
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
Oscar: Small-world overlay for realistic key distributions
S Girdzijauskas, A Datta, K Aberer
International Workshop on Databases, Information Systems, and Peer-to-Peer …, 2005
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