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2008.05687
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WAFFLe: Weight Anonymized Factorization for Federated Learning
13 August 2020
Weituo Hao
Nikhil Mehta
Kevin J. Liang
Pengyu Cheng
Mostafa El-Khamy
Lawrence Carin
FedML
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Papers citing
"WAFFLe: Weight Anonymized Factorization for Federated Learning"
4 / 4 papers shown
Title
Fairness and Privacy-Preserving in Federated Learning: A Survey
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
114
50
0
14 Jun 2023
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
123
76
0
27 Oct 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
102
87
0
16 Jul 2021
Towards Fair Federated Learning with Zero-Shot Data Augmentation
Weituo Hao
Mostafa El-Khamy
Jungwon Lee
Jianyi Zhang
Kevin J. Liang
Changyou Chen
Lawrence Carin
FedML
70
91
0
27 Apr 2021
1