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FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature
  Engineering Framework

FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework

5 September 2020
Pei Fang
Zhendong Cai
Hui Chen
Qingjiang Shi
ArXiv (abs)PDFHTML

Papers citing "FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework"

2 / 2 papers shown
Title
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
289
1
0
05 Mar 2025
Federated Automated Feature Engineering
Federated Automated Feature Engineering
Tom Overman
Diego Klabjan
FedML
255
1
0
05 Dec 2024
1