Hegedűs István and Danner Gábor and 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
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| 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/Unit: | Faculty of Science and Informatics |
| Institution: | Szegedi Tudományegyetem |
| Language: | English |
| MTMT rekordazonosító: | 31264620 |
| DOI azonosító: | 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 |
| Web of Science® Times Cited: 3 | View citing articles in Web of Science® |
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