István Hegedüs

35 papers A 1B 5C 5Misc 1Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detecting Semantic Backdoors in a Mystery Shopping Scenario. CoRR Árpád Berta, Gábor Danner, István Hegedüs, Márk Jelasity
2023	—	`conf`	Improving Gossip Learning via Limited Model Merging. ICCCI (CCIS Volume) Gábor Danner, István Hegedüs, Márk Jelasity
2023	J	`jnl`	Privacy-preserving Federated Learning and its application to natural language processing. Knowl. Based Syst. Balázs Nagy, István Hegedüs, Noémi Sándor, Balázs Egedi, Haaris Mehmood, Karthikeyan Saravanan, Gábor Lóki, Ákos Kiss
2022	C	`conf`	Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification. IH&MMSec Árpád Berta, Gábor Danner, István Hegedüs, Márk Jelasity
2021	J	`jnl`	Decentralized learning works: An empirical comparison of gossip learning and federated learning. J. Parallel Distributed Comput. István Hegedüs, Gábor Danner, Márk Jelasity
2021	B	`conf`	Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis. IJCNN István Megyeri, István Hegedüs, Márk Jelasity
2020	B	`conf`	Adversarial Robustness of Model Sets. IJCNN István Megyeri, István Hegedüs, Márk Jelasity
2020	B	`conf`	Attacking Model Sets with Adversarial Examples. ESANN István Megyeri, István Hegedüs, Márk Jelasity
2020	—	`conf`	Decentralized machine learning using compressed push-pull averaging. DICG@Middleware Gábor Danner, István Hegedüs, Márk Jelasity
2019	B	`conf`	Adversarial robustness of linear models: regularization and dimensionality. ESANN István Megyeri, István Hegedüs, Márk Jelasity
2019	—	`conf`	Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning. PKDD/ECML Workshops (1) István Hegedüs, Gábor Danner, Márk Jelasity
2019	C	`conf`	Gossip Learning as a Decentralized Alternative to Federated Learning. DAIS István Hegedüs, Gábor Danner, Márk Jelasity
2018	J	`jnl`	Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation. Secur. Commun. Networks Gábor Danner, Árpád Berta, István Hegedüs, Márk Jelasity
2017	J	`jnl`	Differentially Private Linear Models for Gossip Learning through Data Perturbation. Open J. Internet Things István Hegedüs, Márk Jelasity
2017	—	`—`	Gossip-Based Machine Learning in Fully Distributed Environments István Hegedüs
2016	C	`conf`	Dimension Reduction Methods for Collaborative Mobile Gossip Learning. PDP Árpád Berta, István Hegedüs, Márk Jelasity
2016	C	`conf`	Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study. PDP István Hegedüs, Márk Jelasity
2016	J	`jnl`	Robust Decentralized Differentially Private Stochastic Gradient Descent. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. István Hegedüs, Árpád Berta, Márk Jelasity
2016	J	`jnl`	Robust Decentralized Low-Rank Matrix Decomposition. ACM Trans. Intell. Syst. Technol. István Hegedüs, Árpád Berta, Levente Kocsis, András A. Benczúr, Márk Jelasity
2014	—	`conf`	Fully distributed robust singular value decomposition. P2P István Hegedüs, Márk Jelasity, Levente Kocsis, András A. Benczúr
2014	B	`conf`	Lightning fast asynchronous distributed k-means clustering. ESANN Árpád Berta, István Hegedüs, Róbert Ormándi
2013	J	`jnl`	Gossip learning with linear models on fully distributed data. Concurr. Comput. Pract. Exp. Róbert Ormándi, István Hegedüs, Márk Jelasity
2013	—	`conf`	Gossip-based distributed stochastic bandit algorithms. ICML (3) Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl
2013	J	`jnl`	Massively Distributed Concept Drift Handling in Large Networks. Adv. Complex Syst. István Hegedüs, Róbert Ormándi, Márk Jelasity
2012	Misc	`conf`	Detecting concept drift in fully distributed environments. SISY István Hegedüs, Lehel Nyers, Róbert Ormándi
2012	—	`conf`	Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks. SASO István Hegedüs, Róbert Ormándi, Márk Jelasity
2012	—	`conf`	Peer-to-Peer Multi-class Boosting. Euro-Par István Hegedüs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity, Balázs Kégl
2011	—	`conf`	Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent. Euro-Par (1) Róbert Ormándi, István Hegedüs, Márk Jelasity
2011	J	`jnl`	Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data CoRR Róbert Ormándi, István Hegedüs, Márk Jelasity
2010	A	`conf`	Automatic free-text-tagging of online news archives. ECAI Richárd Farkas, Gábor Berend, István Hegedüs, András Kárpáti, Balázs Krich
2010	—	`conf`	Novel Balanced Feature Representation for Wikipedia Vandalism Detection Task - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) István Hegedüs, Róbert Ormándi, Richárd Farkas, Márk Jelasity
2010	—	`conf`	Opinion Mining by Transformation-Based Domain Adaptation. TSD Róbert Ormándi, István Hegedüs, Richárd Farkas
2010	—	`conf`	Overlay Management for Fully Distributed User-Based Collaborative Filtering. Euro-Par (1) Róbert Ormándi, István Hegedüs, Márk Jelasity
2010	C	`conf`	Towards Inferring Ratings from User Behavior in BitTorrent Communities. WETICE Róbert Ormándi, István Hegedüs, Kornel Csernai, Márk Jelasity
2009	J	`jnl`	Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete