István Hegedüs

Proceedings of the Advances in Computational Collective Intelligence, 2023

2022

Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification.

[BibT_eX]

[DOI]

Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022

2021

Decentralized learning works: An empirical comparison of gossip learning and federated learning.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2021

Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Decentralized machine learning using compressed push-pull averaging.

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[DOI]

Proceedings of the DICG@Middleware 2020, 2020

Adversarial Robustness of Model Sets.

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[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Attacking Model Sets with Adversarial Examples.

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[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Adversarial robustness of linear models: regularization and dimensionality.

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[DOI]

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Gossip Learning as a Decentralized Alternative to Federated Learning.

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[DOI]

Proceedings of the Distributed Applications and Interoperable Systems, 2019

2018

Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation.

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[DOI]

Secur. Commun. Networks, 2018

2017

Gossip-Based Machine Learning in Fully Distributed Environments

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[DOI]

PhD thesis, 2017

Differentially Private Linear Models for Gossip Learning through Data Perturbation.

[BibT_eX]

[DOI]

Open J. Internet Things, 2017

2016

Robust Decentralized Low-Rank Matrix Decomposition.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2016

Robust Decentralized Differentially Private Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Árpád Berta

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2016

Distributed Differentially Private Stochastic Gradient Descent: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Dimension Reduction Methods for Collaborative Mobile Gossip Learning.

[BibT_eX]

[DOI]

Árpád Berta

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

2014

Fully distributed robust singular value decomposition.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Peer-to-Peer Computing, 2014

Lightning fast asynchronous distributed k-means clustering.

[BibT_eX]

[DOI]

Árpád Berta

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Gossip learning with linear models on fully distributed data.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2013

Massively Distributed Concept Drift Handling in Large Networks.

[BibT_eX]

[DOI]

Adv. Complex Syst., 2013

Gossip-based distributed stochastic bandit algorithms.

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[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Detecting concept drift in fully distributed environments.

[BibT_eX]

[DOI]

Lehel Nyers

Proceedings of the 10th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2012

Gossip-Based Learning under Drifting Concepts in Fully Distributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2012

Peer-to-Peer Multi-class Boosting.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

2011

Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data

[BibT_eX]

[DOI]

CoRR, 2011

Asynchronous Peer-to-Peer Data Mining with Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2010

Towards Inferring Ratings from User Behavior in BitTorrent Communities.

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[DOI]

Proceedings of the 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises, 2010

Opinion Mining by Transformation-Based Domain Adaptation.

[BibT_eX]

[DOI]

Richárd Farkas

Proceedings of the Text, Speech and Dialogue, 13th International Conference, 2010

Overlay Management for Fully Distributed User-Based Collaborative Filtering.

[BibT_eX]

[DOI]