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How global observation works in Federated Learning: Integrating vertical
  training into Horizontal Federated Learning
v1v2v3 (latest)

How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning

2 December 2021
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
    FedML
ArXiv (abs)PDFHTML

Papers citing "How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning"

2 / 2 papers shown
Title
FedLP: Layer-wise Pruning Mechanism for Communication-Computation
  Efficient Federated Learning
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Zheqi Zhu
Yuchen Shi
Jia Luo
Fei Wang
Chenghui Peng
Pingyi Fan
Khaled B. Letaief
FedML
76
20
0
11 Mar 2023
Rethinking the Defense Against Free-rider Attack From the Perspective of
  Model Weight Evolving Frequency
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Jinyin Chen
Mingjun Li
Tao Liu
Haibin Zheng
Yao Cheng
Changting Lin
AAML
70
11
0
11 Jun 2022
1