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SEDML: Securely and Efficiently Harnessing Distributed Knowledge in
  Machine Learning

SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning

26 October 2021
Yansong Gao
Qun Li
Yifeng Zheng
Guohong Wang
Jiannan Wei
Mang Su
ArXivPDFHTML

Papers citing "SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning"

2 / 2 papers shown
Title
Learning Privacy-Preserving Student Networks via
  Discriminative-Generative Distillation
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
39
9
0
04 Sep 2024
A Review of the In-Network Computing and Its Role in the Edge-Cloud
  Continuum
A Review of the In-Network Computing and Its Role in the Edge-Cloud Continuum
Manel Gherari
Fatemeh Aghaali Akbari
Sama Habibi
Soukaina Ouledsidi Ali
Zakaria Ait Hmitti
...
H. Elbiaze
Özgür Erçetin
Y. Ghamri-Doudane
R. Glitho
W. Ajib
14
0
0
04 Aug 2023
1