Momentum módszer a teljesen elosztott gépi tanulásban

Danner Gábor
2014

Evolúció-szimuláció NEAT alapokon

Danner Gábor
2012

Efficient Gossip Algorithms for Machine Learning

Danner Gábor
2022

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

Gévay Gábor, Danner Gábor
2016

Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning

Danner Gábor, Jelasity Márk
2015

Token account algorithms the best of the proactive and reactive worlds /

Danner Gábor, Jelasity Márk
2018

Robust decentralized mean estimation with limited communication

Danner Gábor, Jelasity Márk
2018

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

Hegedűs István, Danner Gábor, Jelasity Márk
2020

Decentralized learning works An empirical comparison of gossip learning and federated learning /

Hegedűs István, Danner Gábor, Jelasity Márk
2021

Gossip Learning as a Decentralized Alternative to Federated Learning

Hegedűs István, Danner Gábor, Jelasity Márk
2019

Decentralized machine learning using compressed push-pull averaging

Danner Gábor, Hegedűs István, Jelasity Márk
2020

Improving Gossip Learning via Limited Model Merging

Danner Gábor, Hegedűs István, Jelasity Márk
2023

Robust fully distributed minibatch gradient descent with privacy preservation

Danner Gábor, Berta Árpád, Hegedűs István, Jelasity Márk
2018

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

Berta Árpád, Danner Gábor, Hegedűs István, Jelasity Márk
2022