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Desirable Companion for Vertical Federated Learning: New Zeroth-Order
  Gradient Based Algorithm

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm

19 March 2022
Qingsong Zhang
Bin Gu
Zhiyuan Dang
Cheng Deng
Heng-Chiao Huang
    FedML
ArXivPDFHTML

Papers citing "Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm"

3 / 3 papers shown
Title
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
41
10
0
03 Feb 2023
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
29
2
0
03 May 2022
AsySQN: Faster Vertical Federated Learning Algorithms with Better
  Computation Resource Utilization
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
Qingsong Zhang
Bin Gu
Cheng Deng
Songxiang Gu
Liefeng Bo
J. Pei
Heng-Chiao Huang
FedML
100
30
0
26 Sep 2021
1