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

5 September 2020

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

3 / 3 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 67 0 0 05 Mar 2025
Federated Automated Feature Engineering Tom Overman Diego Klabjan FedML 100 1 0 05 Dec 2024
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 270 7,640 0 03 Jul 2012