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
|
Text
all.pdf - Accepted Version Download (263kB) | Preview |
Item Type: | Book Section |
---|---|
Date: | 2020 |
Number: | 1167 |
Number of Pages: | 16 |
Page Range: | pp. 317-332 |
ISBN: | 9783030438234; 9783030438227 |
Publisher: | Springer International Publishing |
Place of Publication: | Cham (Svájc) |
Faculty: | Faculty of Science and Informatics |
Institution: | Szegedi Tudományegyetem |
MTMT id: | 31264620 |
DOI id: | https://doi.org/10.1007/978-3-030-43823-4_27 |
Related URLs: | |
Date Deposited: | 2020. Apr. 01. 11:56 |
Last Modified: | 2020. Apr. 01. 16:23 |
URI: | http://publicatio.bibl.u-szeged.hu/id/eprint/18455 |
Actions (login required)
![]() |
View Item |