|
|
|
|
| LEADER |
00842naa a2200205 i 4500 |
| 001 |
publ6403 |
| 005 |
20180830132156.0 |
| 008 |
160223s2016 hu o 0|| zxx d |
| 020 |
|
|
|a 978-1-4673-8775-0
|
| 024 |
7 |
|
|a 10.1109 /PDP.2016.19
|2 doi
|
| 024 |
7 |
|
|a 3022850
|2 mtmt
|
| 040 |
|
|
|a SZTE Publicatio Repozitórium
|b hun
|
| 041 |
|
|
|a zxx
|
| 100 |
1 |
|
|a Hegedűs István
|
| 245 |
1 |
0 |
|a Distributed Differentially Private Stochastic Gradient Descent
|h [elektronikus dokumentum] :
|b An Empirical Study /
|c Hegedűs István
|
| 260 |
|
|
|a IEEE Computer Society Press
|b Piscataway
|c 2016
|
| 300 |
|
|
|a 566-573
|
| 490 |
0 |
|
|a Proceedings of the 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2016)
|
| 700 |
0 |
1 |
|a Jelasity Márk
|e aut
|
| 856 |
4 |
0 |
|u http://publicatio.bibl.u-szeged.hu/6403/1/pdp16a.pdf
|z Dokumentum-elérés
|