Szerző: " Danner Gábor"

Danner Gábor; Hegedűs István; Jelasity Márk: Improving Gossip Learning via Limited Model Merging.
In: Advances in Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings. Springer Nature Switzerland, Cham, pp. 351-363. (2023) ISBN 9783031417733; 9783031417740

Berta Árpád; Danner Gábor; Hegedűs István; Jelasity Márk: Hiding Needles in a Haystack: Towards Constructing Neural Networks that Evade Verification.
In: Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security. Association for Computing Machinery, New York, NY, USA, pp. 51-62. (2022) ISBN 9781450393553

Hegedűs István; Danner Gábor; Jelasity Márk: Decentralized learning works: An empirical comparison of gossip learning and federated learning.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 148. pp. 109-124. ISSN 0743-7315 (2021)

Hegedűs István; Danner Gábor; Jelasity Márk: Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning.
In: Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Springer International Publishing, Cham (Svájc), pp. 317-332. (2020) ISBN 9783030438234; 9783030438227

Danner Gábor; Hegedűs István; Jelasity Márk: Decentralized machine learning using compressed push-pull averaging.
In: Proceedings of the 1st International Workshop on Distributed Infrastructure for Common Good. Association for Computing Machinery, New York (NY), pp. 31-36. (2020) ISBN 9781450381970

Hegedűs István; Danner Gábor; Jelasity Márk: Gossip Learning as a Decentralized Alternative to Federated Learning.
LECTURE NOTES IN COMPUTER SCIENCE, 11534. pp. 74-90. ISSN 0302-9743 (2019)

Danner Gábor; Jelasity Márk: Robust decentralized mean estimation with limited communication.
LECTURE NOTES IN COMPUTER SCIENCE, 11014. pp. 447-461. ISSN 0302-9743 (2018)

Danner Gábor; Berta Árpád; Hegedűs István; Jelasity Márk: Robust fully distributed minibatch gradient descent with privacy preservation.
SECURITY AND COMMUNICATION NETWORKS, 2018. Terjedelem: 15 p.-Azonosító: 6728020. ISSN 1939-0114 (2018)

Danner Gábor; Jelasity Márk: Token account algorithms: the best of the proactive and reactive worlds.
In: Proceedings of The 38th International Conference on Distributed Computing Systems (ICDCS 2018). IEEE Computer Society, Piscataway, pp. 885-895. (2018) ISBN 978-1-5386-6871-9

Gévay Gábor; Danner Gábor: Calculating Ultrastrong and Extended Solutions for Nine Men's Morris, Morabaraba, and Lasker Morris.
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, 8 (3). pp. 256-267. ISSN 1943-068X (2016)

Danner Gábor; Jelasity Márk: Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning.
In: Distributed Applications and Interoperable Systems: 15th IFIP WG 6.1 International Conference, DAIS 2015 Held as Part of the 10th International Federated Conference on Distributed Computing Techniques, DisCoTec 2015 Grenoble, France, June 2–4, 2015 Procee. Springer International Publishing, Cham, Switzerland, pp. 30-44. (2015) ISBN 978-3-319-19128-7