LEADER 01302nam 2200409 450 001 996483164203316 005 20221231121335.0 010 $a3-030-96896-0 035 $a(MiAaPQ)EBC7042225 035 $a(Au-PeEL)EBL7042225 035 $a(CKB)24242660100041 035 $a(PPN)263901777 035 $a(EXLCZ)9924242660100041 100 $a20221231d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFederated learning $ea comprehensive overview of methods and applications /$fHeiko Ludwig, Nathalie Baracaldo (editors) 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (vi, 534 pages) $cillustrations 311 08$aPrint version: Ludwig, Heiko Federated Learning Cham : Springer International Publishing AG,c2022 9783030968953 320 $aIncludes bibliographical references and index. 606 $aMachine learning 615 0$aMachine learning. 676 $a006.31 702 $aLudwig$b Heiko 702 $aBaracaldo$b Nathalie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996483164203316 996 $aFederated Learning$92899543 997 $aUNISA