Gábor Danner

According to our database, Gábor Danner authored at least 13 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Gossip Learning via Limited Model Merging.

Gábor Danner, István Hegedüs, Márk Jelasity

Proceedings of the Advances in Computational Collective Intelligence, 2023

2022

Efficient Gossip Algorithms for Machine Learning

Gábor Danner

PhD thesis, 2022

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

Árpád Berta, Gábor Danner, István Hegedüs, Márk Jelasity

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.

István Hegedüs, Gábor Danner, Márk Jelasity

J. Parallel Distributed Comput., 2021

2020

Decentralized machine learning using compressed push-pull averaging.

Gábor Danner, István Hegedüs, Márk Jelasity

Proceedings of the DICG@Middleware 2020, 2020

2019

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

István Hegedüs, Gábor Danner, Márk Jelasity

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

Gossip Learning as a Decentralized Alternative to Federated Learning.

István Hegedüs, Gábor Danner, Márk Jelasity

Proceedings of the Distributed Applications and Interoperable Systems, 2019

2018

Robust Fully Distributed Minibatch Gradient Descent with Privacy Preservation.

Gábor Danner, Árpád Berta, István Hegedüs, Márk Jelasity

Secur. Commun. Networks, 2018

Token Account Algorithms: The Best of the Proactive and Reactive Worlds.

Gábor Danner, Márk Jelasity

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Robust Decentralized Mean Estimation with Limited Communication.

Gábor Danner, Márk Jelasity

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2016

Calculating Ultrastrong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker Morris.

Gábor E. Gévay, Gábor Danner

IEEE Trans. Comput. Intell. AI Games, 2016

2015

Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning.

Gábor Danner, Márk Jelasity

Proceedings of the Distributed Applications and Interoperable Systems, 2015

2014

Calculating Ultra-Strong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker.

Gábor E. Gévay, Gábor Danner

CoRR, 2014