István Hegedüs

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 17

Top Topics

Differentially Private

Top Venues

Secur. Commun. Networks

Publications

Balázs Nagy, István Hegedüs, Noémi Sándor, Balázs Egedi, Haaris Mehmood, Karthikeyan Saravanan, Gábor Lóki, Ákos Kiss
Privacy-preserving Federated Learning and its application to natural language processing. Knowl. Based Syst. 268 (2023)
Gábor Danner, István Hegedüs, Márk Jelasity
Improving Gossip Learning via Limited Model Merging. ICCCI (CCIS Volume) (2023)
Árpád Berta, Gábor Danner, István Hegedüs, Márk Jelasity
Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification. IH&MMSec (2022)
István Megyeri, István Hegedüs, Márk Jelasity
Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. IJCNN (2021)
István Hegedüs, Gábor Danner, Márk Jelasity
Decentralized learning works: An empirical comparison of gossip learning and federated learning. J. Parallel Distributed Comput. 148 (2021)
István Megyeri, István Hegedüs, Márk Jelasity
Attacking Model Sets with Adversarial Examples. ESANN (2020)
István Megyeri, István Hegedüs, Márk Jelasity
Adversarial Robustness of Model Sets. IJCNN (2020)
Gábor Danner, István Hegedüs, Márk Jelasity
Decentralized machine learning using compressed push-pull averaging. DICG@Middleware (2020)
István Megyeri, István Hegedüs, Márk Jelasity
Adversarial robustness of linear models: regularization and dimensionality. ESANN (2019)
István Hegedüs, Gábor Danner, Márk Jelasity
Gossip Learning as a Decentralized Alternative to Federated Learning. DAIS (2019)
István Hegedüs, Gábor Danner, Márk Jelasity
Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. PKDD/ECML Workshops (1) (2019)
Gábor Danner, Árpád Berta, István Hegedüs, Márk Jelasity
Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation. Secur. Commun. Networks 2018 (2018)
István Hegedüs, Márk Jelasity
Differentially Private Linear Models for Gossip Learning through Data Perturbation. Open J. Internet Things 3 (1) (2017)
István Hegedüs, Árpád Berta, Márk Jelasity
Robust Decentralized Differentially Private Stochastic Gradient Descent. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 7 (2) (2016)
Árpád Berta, István Hegedüs, Márk Jelasity
Dimension Reduction Methods for Collaborative Mobile Gossip Learning. PDP (2016)
István Hegedüs, Árpád Berta, Levente Kocsis, András A. Benczúr, Márk Jelasity
Robust Decentralized Low-Rank Matrix Decomposition. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
István Hegedüs, Márk Jelasity
Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study. PDP (2016)
István Hegedüs, Márk Jelasity, Levente Kocsis, András A. Benczúr
Fully distributed robust singular value decomposition. P2P (2014)
Árpád Berta, István Hegedüs, Róbert Ormándi
Lightning fast asynchronous distributed k-means clustering. ESANN (2014)
Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl
Gossip-based distributed stochastic bandit algorithms. ICML (3) (2013)
Róbert Ormándi, István Hegedüs, Márk Jelasity
Gossip learning with linear models on fully distributed data. Concurr. Comput. Pract. Exp. 25 (4) (2013)
István Hegedüs, Róbert Ormándi, Márk Jelasity
Massively Distributed Concept Drift Handling in Large Networks. Adv. Complex Syst. 16 (4-5) (2013)
István Hegedüs, Róbert Ormándi, Márk Jelasity
Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks. SASO (2012)
István Hegedüs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity, Balázs Kégl
Peer-to-Peer Multi-class Boosting. Euro-Par (2012)
István Hegedüs, Lehel Nyers, Róbert Ormándi
Detecting concept drift in fully distributed environments. SISY (2012)
Róbert Ormándi, István Hegedüs, Márk Jelasity
Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent. Euro-Par (1) (2011)
Róbert Ormándi, István Hegedüs, Márk Jelasity
Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data CoRR (2011)
Róbert Ormándi, István Hegedüs, Richárd Farkas
Opinion Mining by Transformation-Based Domain Adaptation. TSD (2010)
Róbert Ormándi, István Hegedüs, Kornel Csernai, Márk Jelasity
Towards Inferring Ratings from User Behavior in BitTorrent Communities. WETICE (2010)
István Hegedüs, Róbert Ormándi, Richárd Farkas, Márk Jelasity
Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) (2010)
Róbert Ormándi, István Hegedüs, Márk Jelasity
Overlay Management for Fully Distributed User-Based Collaborative Filtering. Euro-Par (1) (2010)
Richárd Farkas, Gábor Berend, István Hegedüs, András Kárpáti, Balázs Krich
Automatic free-text-tagging of online news archives. ECAI (2010)
Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete
Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. 16 (4) (2009)