| Gossip learning with linear models on fully distributed data R Ormándi, I Hegedűs, M Jelasity Concurrency and Computation: Practice and Experience 25 (4), 556-571, 2013 | 155 | 2013 |
| Gossip learning as a decentralized alternative to federated learning I Hegedűs, G Danner, M Jelasity Distributed Applications and Interoperable Systems: 19th IFIP WG 6.1 …, 2019 | 145 | 2019 |
| Gossip-based distributed stochastic bandit algorithms B Szorenyi, R Busa-Fekete, I Hegedus, R Ormándi, M Jelasity, B Kégl International conference on machine learning, 19-27, 2013 | 109 | 2013 |
| Decentralized learning works: An empirical comparison of gossip learning and federated learning I Hegedűs, G Danner, M Jelasity Journal of Parallel and Distributed Computing 148, 109-124, 2021 | 89 | 2021 |
| Decentralized recommendation based on matrix factorization: A comparison of gossip and federated learning I Hegedűs, G Danner, M Jelasity Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 36 | 2019 |
| Semi-automated construction of decision rules to predict morbidities from clinical texts R Farkas, G Szarvas, I Hegedűs, A Almási, V Vincze, R Ormándi, ... Journal of the American Medical Informatics Association 16 (4), 601-605, 2009 | 29 | 2009 |
| Robust decentralized low-rank matrix decomposition I Hegedűs, Á Berta, L Kocsis, AA Benczúr, M Jelasity ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 1-24, 2016 | 27 | 2016 |
| Asynchronous peer-to-peer data mining with stochastic gradient descent R Ormándi, I Hegedűs, M Jelasity European Conference on Parallel Processing, 528-540, 2011 | 25 | 2011 |
| Overlay management for fully distributed user-based collaborative filtering R Ormándi, I Hegedűs, M Jelasity European Conference on Parallel Processing, 446-457, 2010 | 22 | 2010 |
| Fully distributed robust singular value decomposition I Hegedűs, M Jelasity, L Kocsis, AA Benczúr 14-th IEEE International Conference on Peer-to-Peer Computing, 1-9, 2014 | 15 | 2014 |
| Distributed differentially private stochastic gradient descent: An empirical study I Hegedus, M Jelasity 2016 24th Euromicro international conference on parallel, distributed, and …, 2016 | 14 | 2016 |
| Gossip-based learning under drifting concepts in fully distributed networks I Hegedus, R Ormándi, M Jelasity 2012 IEEE Sixth International Conference on Self-Adaptive and Self …, 2012 | 14 | 2012 |
| Automatic free-text-tagging of online news archives R Farkas, G Berend, I Hegedűs, A Kárpáti, B Krich ECAI 2010, 529-534, 2010 | 14 | 2010 |
| Robust fully distributed minibatch gradient descent with privacy preservation G Danner, Á Berta, I Hegedűs, M Jelasity Security and Communication Networks 2018, 2018 | 12 | 2018 |
| Detecting concept drift in fully distributed environments I Hegedűs, L Nyers, R Ormándi 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and …, 2012 | 11 | 2012 |
| Towards inferring ratings from user behavior in BitTorrent communities R Ormándi, I Hegedus, K Csernai, M Jelasity 2010 19th IEEE International Workshops on Enabling Technologies …, 2010 | 11 | 2010 |
| Robust decentralized differentially private stochastic gradient descent I Hegedűs, Á Berta, M Jelasity Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2016 | 10 | 2016 |
| Massively distributed concept drift handling in large networks I Hegedűs, R Ormándi, M Jelasity Advances in Complex Systems 16 (04n05), 1350021, 2013 | 9 | 2013 |
| Dimension reduction methods for collaborative mobile gossip learning Á Berta, I Hegedus, M Jelasity 2016 24th Euromicro International Conference on Parallel, Distributed, and …, 2016 | 8 | 2016 |
| Lightning fast asynchronous distributed k-means clustering Á Berta, I Hegedűs, R Ormándi UCL, 2014 | 6 | 2014 |
Mark JelasityFull Professor, University of SzegedZweryfikowany adres z inf.u-szeged.hu
