Federated Learning: Issues in Medical Application


 🔘 Table of associated records

RxRegistration ID
R0Hash MD5 (of R3):507c2e7fe07ef9a317eb4c7a51869fdc
R1Registration number (in the domain editorialia.com at WordPress):dmeditorialiawp.31747
R2Date-p-order (ddmmyyyypx): 29052022p1
R3Cid (combined id R1+R2): dmeditorialiawp.3174729052022p1
R4Resource official title:Federated Learning: Issues in Medical Application
R5Publisher:arXiv.org
R6Resource website (1) ( #OpenAccess | #Openscience ): arxiv.org/abs/2109.00202
R9DOI: arXiv:2109.00202v1 [cs.LG]
R12Authors (separated by commas): Joo Hun Yoo, Hyejun Jeong, Jaehyeok Lee, Tai-Myoung Chung
R14Keyword (selected 1 among the labels applied to this entry):=medicine
R15QR code (of the linked url at WP):qr code
R16Time stamp URL:
R17Digital signature URL:Pending signature

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