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A Comparative Measurement Study of Deep Learning as a Service Framework

A Comparative Measurement Study of Deep Learning as a Service Framework

29 October 2018
Yanzhao Wu
Ling Liu
C. Pu
Wenqi Cao
Semih Sahin
Wenqi Wei
Qi Zhang
ArXivPDFHTML

Papers citing "A Comparative Measurement Study of Deep Learning as a Service Framework"

4 / 4 papers shown
Title
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Mukesh Sahani
Binanda Sengupta
FedML
39
0
0
10 Mar 2025
On the Efficiency of Privacy Attacks in Federated Learning
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
34
1
0
15 Apr 2024
Data science and Machine learning in the Clouds: A Perspective for the
  Future
Data science and Machine learning in the Clouds: A Perspective for the Future
H. Barua
11
5
0
02 Sep 2021
Promoting High Diversity Ensemble Learning with EnsembleBench
Promoting High Diversity Ensemble Learning with EnsembleBench
Yanzhao Wu
Ling Liu
Zhongwei Xie
Juhyun Bae
Ka-Ho Chow
Wenqi Wei
13
11
0
20 Oct 2020
1