Gábor Danner - RankMe

14 papers A 1C 3Journal 5Unranked 4

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
2022	—	`—`	Efficient Gossip Algorithms for Machine Learning Gábor Danner
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
2020	—	`conf`	Decentralized machine learning using compressed push-pull averaging. DICG@Middleware Gábor Danner, 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	—	`conf`	Robust Decentralized Mean Estimation with Limited Communication. Euro-Par 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
2018	A	`conf`	Token Account Algorithms: The Best of the Proactive and Reactive Worlds. ICDCS Gábor Danner, Márk Jelasity
2016	J	`jnl`	Calculating Ultrastrong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker Morris. IEEE Trans. Comput. Intell. AI Games Gábor E. Gévay, Gábor Danner
2015	C	`conf`	Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning. DAIS Gábor Danner, Márk Jelasity
2014	J	`jnl`	Calculating Ultra-Strong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker. CoRR Gábor E. Gévay, Gábor Danner