On de Bruijn Routing in Distributed Hash Tables: There and Back Again. - Anwitaman Datta; Sarunas Girdzijauskas; Karl Aberer (Peer-to-Peer Computing, 2004)

On Small World Graphs in Non-uniformly Distributed Key Spaces. - Sarunas Girdzijauskas; Anwitaman Datta; Karl Aberer (ICDE Workshops, 2005)

The Essence of P2P: A Reference Architecture for Overlay Networks. - Karl Aberer; Luc Onana Alima; Ali Ghodsi 002; Sarunas Girdzijauskas; Seif Haridi; Manfred Hauswirth (Peer-to-Peer Computing, 2005)

Oscar: Small-World Overlay for Realistic Key Distributions. - Sarunas Girdzijauskas; Anwitaman Datta; Karl Aberer (DBISP2P, 2006)

Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation. - Mirko Steinle; Karl Aberer; Sarunas Girdzijauskas; Christian Lovis (VLDB, 2006)

Oscar: A Data-Oriented Overlay For Heterogeneous Environments. - Sarunas Girdzijauskas; Anwitaman Datta; Karl Aberer (ICDE, 2007)

On Routing in Distributed Hash Tables. - Fabius Klemm; Sarunas Girdzijauskas; Jean-Yves Le Boudec; Karl Aberer (Peer-to-Peer Computing, 2007)

Distributed Hash Table. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems, 2009)

Overlay Network. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems, 2009)

Peer to Peer Overlay Networks: Structure, Routing and Maintenance. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems, 2009)

Peer-to-Peer System. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems, 2009)

Magnet: practical subscription clustering for Internet-scale publish/subscribe. - Sarunas Girdzijauskas; Gregory V. Chockler; Ymir Vigfusson; Yoav Tock; Roie Melamed (DEBS, 2010)

Structured overlay for heterogeneous environments: Design and evaluation of oscar. - Sarunas Girdzijauskas; Anwitaman Datta; Karl Aberer (ACM Trans. Auton. Adapt. Syst., 2010)

Vitis: A Gossip-based Hybrid Overlay for Internet-scale Publish/Subscribe Enabling Rendezvous Routing in Unstructured Overlay Networks. - Fatemeh Rahimian; Sarunas Girdzijauskas; Amir Hossein Payberah; Seif Haridi (IPDPS, 2011)

Fuzzynet: Ringless routing in a ring-like structured overlay. - Sarunas Girdzijauskas; Wojciech Galuba; Vasilios Darlagiannis; Anwitaman Datta; Karl Aberer (Peer-to-Peer Netw. Appl., 2011)

Locality-Awareness in a Peer-to-Peer Publish/Subscribe Network. - Fatemeh Rahimian; Thinh Le Nguyen Huu; Sarunas Girdzijauskas (DAIS, 2012)

JA-BE-JA: A Distributed Algorithm for Balanced Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (SASO, 2013)

Gossip-based partitioning and replication for Online Social Networks. - Muhammad Anis Uddin Nasir; Fatemeh Rahimian; Sarunas Girdzijauskas (ASONAM, 2014)

Divide the Task, Multiply the Outcome: Cooperative VM Consolidation. - Mina Sedaghat; Francisco Hernández-Rodriguez; Erik Elmroth; Sarunas Girdzijauskas (CloudCom, 2014)

Distributed Vertex-Cut Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Seif Haridi (DAIS, 2014)

Short: Gossip-Based Sampling in Social Overlays. - Mansour Khelghatdoust; Sarunas Girdzijauskas (NETYS, 2014)

Parallel Community Detection for Cross-Document Coreference. - Fatemeh Rahimian; Sarunas Girdzijauskas; Seif Haridi (WI-IAT (1), 2014)

DIVa: Decentralized Identity Validation for Social Networks. - Amira Soliman 001; Leila Bahri; Barbara Carminati; Elena Ferrari 001; Sarunas Girdzijauskas (ASONAM, 2015)

Socially-aware distributed hash tables for decentralized online social networks. - Muhammad Anis Uddin Nasir; Sarunas Girdzijauskas; Nicolas Kourtellis (P2P, 2015)

Semi-Supervised Multiple Disambiguation. - Kambiz Ghoorchian; Fatemeh Rahimian; Sarunas Girdzijauskas (TrustCom/BigDataSE/ISPA (2), 2015)

A Distributed Algorithm for Large-Scale Graph Partitioning. - Fatemeh Rahimian; Amir Hossein Payberah; Sarunas Girdzijauskas; Márk Jelasity; Seif Haridi (ACM Trans. Auton. Adapt. Syst., 2015)

DLSAS: Distributed Large-Scale Anti-Spam Framework for Decentralized Online Social Networks. - Amira Soliman 001; Sarunas Girdzijauskas (CIC, 2016)

Beat the DIVa - decentralized identity validation for online social networks. - Leila Bahri; Amira Soliman 001; Jacopo Squillaci; Barbara Carminati; Elena Ferrari 001; Sarunas Girdzijauskas (ICDE, 2016)

Tovel: Distributed Graph Clustering for Word Sense Disambiguation. - Alessio Guerrieri; Fatemeh Rahimian; Sarunas Girdzijauskas; Alberto Montresor (ICDM Workshops, 2016)

Gossip-Based Behavioral Group Identification in Decentralized OSNs. - Naeimeh Laleh; Barbara Carminati; Elena Ferrari 001; Sarunas Girdzijauskas (MLDM, 2016)

Top-k densest subgraphs in sliding-window graph streams. - Muhammad Anis Uddin Nasir; Aristides Gionis; Gianmarco De Francisci Morales; Sarunas Girdzijauskas (CoRR, 2016)

CADIVa: cooperative and adaptive decentralized identity validation model for social networks. - Amira Soliman 001; Leila Bahri; Sarunas Girdzijauskas; Barbara Carminati; Elena Ferrari 001 (Soc. Netw. Anal. Min., 2016)

Fully Dynamic Algorithm for Top-k Densest Subgraphs. - Muhammad Anis Uddin Nasir; Aristides Gionis; Gianmarco De Francisci Morales; Sarunas Girdzijauskas (CIKM, 2017)

DeGPar: Large Scale Topic Detection Using Node-Cut Partitioning on Dense Weighted Graphs. - Kambiz Ghoorchian; Sarunas Girdzijauskas; Fatemeh Rahimian (ICDCS, 2017)

Gossip-based service monitoring platform for wireless edge cloud computing. - Nuno Apolónia; Felix Freitag; Leandro Navarro 001; Sarunas Girdzijauskas; Vladimir Vlassov (ICNSC, 2017)

AdaGraph: Adaptive Graph-Based Algorithms for Spam Detection in Social Networks. - Amira Soliman 001; Sarunas Girdzijauskas (NETYS, 2017)

Load Balancing for Skewed Streams on Heterogeneous Cluster. - Muhammad Anis Uddin Nasir; Hiroshi Horii; Marco Serafini; Nicolas Kourtellis; Rudy Raymond; Sarunas Girdzijauskas; Takayuki Osogami (CoRR, 2017)

Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. - Zainab Abbas; Ahmad Al-Shishtawy; Sarunas Girdzijauskas; Vladimir Vlassov (BigData Congress, 2018)

Spatio-Temporal Multiple Geo-Location Identification on Twitter. - Kambiz Ghoorchian; Sarunas Girdzijauskas (IEEE BigData, 2018)

BeaConvey: Co-Design of Overlay and Routing for Topic-based Publish/Subscribe on Small-World Networks. - Chen Chen 008; Yoav Tock; Sarunas Girdzijauskas (DEBS, 2018)

Stad: Stateful Diffusion for Linear Time Community Detection. - Amira Soliman 001; Fatemeh Rahimian; Sarunas Girdzijauskas (ICDCS, 2018)

SELECT: A Distributed Publish/Subscribe Notification System for Online Social Networks. - Nuno Apolónia; Stefanos Antaris; Sarunas Girdzijauskas; George Pallis 001; Marios D. Dikaiakos (IPDPS, 2018)

Human Activity Recognition Using Federated Learning. - Konstantin Sozinov; Vladimir Vlassov; Sarunas Girdzijauskas (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

CAS2VEC: Network-Agnostic Cascade Prediction in Online Social Networks. - Zekarias T. Kefato; Nasrullah Sheikh; Leila Bahri; Amira Soliman 001; Alberto Montresor; Sarunas Girdzijauskas (SNAMS, 2018)

When Trust Saves Energy: A Reference Framework for Proof of Trust (PoT) Blockchains. - Leila Bahri; Sarunas Girdzijauskas (WWW (Companion Volume), 2018)

Overlay Network. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems (2nd ed.), 2018)

Peer-to-Peer Overlay Networks: Structure, Routing and Maintenance. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems (2nd ed.), 2018)

Peer-to-Peer System. - Wojciech Galuba; Sarunas Girdzijauskas (Encyclopedia of Database Systems (2nd ed.), 2018)

Gossip Learning: Off the Beaten Path. - Lodovico Giaretta; Sarunas Girdzijauskas (IEEE BigData, 2019)

Trust Mends Blockchains: Living up to Expectations. - Leila Bahri; Sarunas Girdzijauskas (ICDCS, 2019)

Eliciting Structures in Data. - Ahmad Al-Shishtawy; Juhee Bae; Mohamed-Rafik Bouguelia; Göran Falkman; Sarunas Girdzijauskas; Olof Gönerup; Anders Holst; Alexander Karlsson; Slawomir Nowaczyk; Sepideh Pashami; Alan Said; Amira A. Soliman El Hosary (IUI Workshops, 2019)

Blockchain Technology: Practical P2P Computing (Tutorial). - Leila Bahri; Sarunas Girdzijauskas (FAS*W@SASO/ICAC, 2019)

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (IEEE BigData, 2020)

Repeating Link Prediction over Dynamic Graphs. - Daniele Montesi; Sarunas Girdzijauskas; Vladimir Vlassov (IEEE BigData, 2020)

Gossip and Attend: Context-Sensitive Graph Representation Learning. - Zekarias T. Kefato; Sarunas Girdzijauskas (ICWSM, 2020)

Decentralized and Adaptive K-Means Clustering for Non-IID Data Using HyperLogLog Counters. - Amira Soliman 001; Sarunas Girdzijauskas; Mohamed-Rafik Bouguelia; Sepideh Pashami; Slawomir Nowaczyk (PAKDD (1), 2020)

Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. - Zed Lee; Sarunas Girdzijauskas; Panagiotis Papapetrou (ECML/PKDD (1), 2020)

Domain expertise-agnostic feature selection for the analysis of breast cancer data*. - Susanna Pozzoli; Amira Soliman 001; Leila Bahri; Rui Mamede Branca; Sarunas Girdzijauskas; Marco Brambilla 001 (Artif. Intell. Medicine, 2020)

Graph Neighborhood Attentive Pooling. - Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2020)

Socially aware microcloud service overlay optimization in community networks. - Nuno Apolónia; Felix Freitag; Leandro Navarro 001; Sarunas Girdzijauskas (Softw. Pract. Exp., 2020)

Meta-reinforcement learning via buffering graph signatures for live video streaming events. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (ASONAM, 2021)

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (IEEE BigData, 2021)

LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks. - Lodovico Giaretta; Ahmed Lekssays; Barbara Carminati; Elena Ferrari 001; Sarunas Girdzijauskas (ESORICS (1), 2021)

PDS2: A user-centered decentralized marketplace for privacy preserving data processing. - Lodovico Giaretta; Ioannis Savvidis; Thomas Marchioro; Sarunas Girdzijauskas; George Pallis 001; Marios D. Dikaiakos; Evangelos P. Markatos (ICDE Workshops, 2021)

Decentralized Word2Vec Using Gossip Learning. - Abdul Aziz Alkathiri; Lodovico Giaretta; Sarunas Girdzijauskas; Magnus Sahlgren (NoDaLiDa, 2021)

Dynamic Embeddings for Interaction Prediction. - Zekarias T. Kefato; Sarunas Girdzijauskas; Nasrullah Sheikh; Alberto Montresor (WWW, 2021)

Self-supervised Graph Neural Networks without explicit negative sampling. - Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2021)

Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning. - Daniel Garcia Bernal; Lodovico Giaretta; Sarunas Girdzijauskas; Magnus Sahlgren (CoRR, 2021)

Jointly Learnable Data Augmentations for Self-Supervised GNNs. - Zekarias T. Kefato; Sarunas Girdzijauskas; Hannes Stärk (CoRR, 2021)

Confidence-Calibrated Human Activity Recognition. - Debaditya Roy; Sarunas Girdzijauskas; Serghei Socolovschi (Sensors, 2021)

Knowledge distillation on neural networks for evolving graphs. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (Soc. Netw. Anal. Min., 2021)

Towards a decentralized infrastructure for data marketplaces: narrowing the gap between academia and industry. - Lodovico Giaretta; Thomas Marchioro; Evangelos P. Markatos; Sarunas Girdzijauskas (DE@CoNEXT, 2022)

Not Only Degree Matters: Diffusion-Driven Role Recognition. - Susanna Pozzoli; Sarunas Girdzijauskas (OASIS@HT, 2022)

Detecting Security Patches in Java Projects Using NLP Technology. - Andrea Stefanoni; Sarunas Girdzijauskas; Christina Jenkins; Zekarias T. Kefato; Licia Sbattella; Vincenzo Scotti 001; Emil Wåreus (ICNLSP, 2022)

Towards a Realistic Decentralized Naive Bayes with Differential Privacy. - Lodovico Giaretta; Thomas Marchioro; Evangelos P. Markatos; Sarunas Girdzijauskas (ICSBT/SECRYPT (Revised Selected Papers), 2022)

Adaptive Expert Models for Federated Learning. - Martin Isaksson; Edvin Listo Zec; Rickard Cöster; Daniel Gillblad; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. - Edvin Listo Zec; Ebba Ekblom; Martin Willbo; Olof Mogren; Sarunas Girdzijauskas (FL@IJCAI, 2022)

Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks. - Filip Cornell; Jussi Karlgren; Animesh; Sarunas Girdzijauskas (IJCNN, 2022)

Open World Learning Graph Convolution for Latency Estimation in Routing Networks. - Yifei Jin; Marios Daoutis; Sarunas Girdzijauskas; Aristides Gionis (IJCNN, 2022)

Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph Completion. - Filip Cornell; Chenda Zhang; Jussi Karlgren; Sarunas Girdzijauskas (LREC, 2022)

Mixing temporal experts for Human Activity Recognition. - Debaditya Roy; Sarunas Girdzijauskas (SAIS, 2022)

Out-of-distribution in Human Activity Recognition. - Debaditya Roy; Vangjush Komini; Sarunas Girdzijauskas (SAIS, 2022)

Federated Naive Bayes under Differential Privacy. - Thomas Marchioro; Lodovico Giaretta; Evangelos P. Markatos; Sarunas Girdzijauskas (SECRYPT, 2022)

SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding. - Ahmed E. Samy; Lodovico Giaretta; Zekarias T. Kefato; Sarunas Girdzijauskas (WWW (Companion Volume), 2022)

Adaptive Expert Models for Personalization in Federated Learning. - Martin Isaksson; Edvin Listo Zec; Rickard Cöster; Daniel Gillblad; Sarunas Girdzijauskas (CoRR, 2022)

Pedestrian trajectory prediction with convolutional neural networks. - Simone Zamboni; Zekarias Tilahun Kefato; Sarunas Girdzijauskas; Christoffer Norén; Laura Dal Col (Pattern Recognit., 2022)

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. - Sofia Yfantidou; Christina Karagianni; Stefanos Efstathiou; Athena Vakali; Joao Palotti; Dimitrios Panteleimon Giakatos; Thomas Marchioro; Andrei Kazlouski; Elena Ferrari 001; Sarunas Girdzijauskas (Zenodo, 2022)

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. - Sofia Yfantidou; Christina Karagianni; Stefanos Efstathiou; Athena Vakali; Joao Palotti; Dimitrios Panteleimon Giakatos; Thomas Marchioro; Andrei Kazlouski; Elena Ferrari 001; Sarunas Girdzijauskas (Zenodo, 2022)

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. - Sofia Yfantidou; Christina Karagianni; Stefanos Efstathiou; Athena Vakali; Joao Palotti; Dimitrios Panteleimon Giakatos; Thomas Marchioro; Andrei Kazlouski; Elena Ferrari 001; Sarunas Girdzijauskas (Zenodo, 2022)

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild. - Sofia Yfantidou; Christina Karagianni; Stefanos Efstathiou; Athena Vakali; Joao Palotti; Dimitrios Panteleimon Giakatos; Thomas Marchioro; Andrei Kazlouski; Elena Ferrari 001; Sarunas Girdzijauskas (Zenodo, 2022)

Temporal Differential Privacy for Human Activity Recognition. - Debaditya Roy; Sarunas Girdzijauskas (DSAA, 2023)

Data-Driven Self-Supervised Graph Representation Learning. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (ECAI, 2023)

Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition. - Debaditya Roy; Ahmed Lekssays; Sarunas Girdzijauskas; Barbara Carminati; Elena Ferrari 001 (UbiComp/ISWC Adjunct, 2023)

Mitigating Sybil Attacks in Federated Learning. - Ahmed E. Samy; Sarunas Girdzijauskas (ISPEC, 2023)

Unsupervised Ontology- and Taxonomy Construction Through Hyperbolic Relational Domains and Ranges. - Filip Cornell; Yifei Jin; Jussi Karlgren; Sarunas Girdzijauskas (PKDD/ECML Workshops (3), 2023)

On Learning Embeddings at the Intersection of Communities and Roles. - Susanna Pozzoli; Sarunas Girdzijauskas (SNAMS, 2023)

Learning Cellular Coverage from Real Network Configurations using GNNs. - Yifei Jin; Marios Daoutis; Sarunas Girdzijauskas; Aristides Gionis (VTC2023-Spring, 2023)

Graph2Feat: Inductive Link Prediction via Knowledge Distillation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (WWW (Companion Volume), 2023)

Classifying falls using out-of-distribution detection in human activity recognition. - Debaditya Roy; Vangjush Komini; Sarunas Girdzijauskas (AI Commun., 2023)

Integrating Logit Space Embeddings for Reliable Out-of-Distribution Detection. - Vangjush Komini; Sarunas Girdzijauskas (LOD (2), 2024)

Leap: Inductive Link Prediction via Learnable Topology Augmentation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (LOD (1), 2024)

Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors. - Filip Cornell; Yifei Jin; Jussi Karlgren; Sarunas Girdzijauskas (CoRR, 2024)

On the effects of similarity metrics in decentralized deep learning under distributional shift. - Edvin Listo Zec; Tom Hagander; Eric Ihre-Thomason; Sarunas Girdzijauskas (CoRR, 2024)

SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate. - Yifei Jin; Ali Maatouk; Sarunas Girdzijauskas; Shugong Xu; Leandros Tassiulas; Rex Ying (CoRR, 2024)

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction. - Ivan Kralj; Lodovico Giaretta; Gordan Jezic; Ivana Podnar Zarko; Sarunas Girdzijauskas (CoRR, 2024)

On the effects of similarity metrics in decentralized deep learning under distribution shift. - Edvin Listo Zec; Tom Hagander; Eric Ihre-Thomason; Sarunas Girdzijauskas (Trans. Mach. Learn. Res., 2025)

Leap: Inductive Link Prediction via Learnable TopologyAugmentation. - Ahmed E. Samy; Zekarias T. Kefato; Sarunas Girdzijauskas (CoRR, 2025)