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Efficient and Secure Federated Learning for Financial Applications

Efficient and Secure Federated Learning for Financial Applications

15 March 2023
Tao Liu
Zhi Wang
Hui He
Wei Shi
Liangliang Lin
Wei Shi
Ran An
Chenhao Li
    FedML
ArXivPDFHTML

Papers citing "Efficient and Secure Federated Learning for Financial Applications"

6 / 6 papers shown
Title
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Robust Federated Learning with Confidence-Weighted Filtering and GAN-Based Completion under Noisy and Incomplete Data
Alpaslan Gokcen
Ali Boyaci
FedML
43
0
0
14 May 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
Haotian Yang
ziqi wang
Benson Chou
Sophie Xu
Hao Wang
Jingxian Wang
Qizhen Zhang
FedML
98
0
0
26 Mar 2025
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Cen Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
86
0
27 Jun 2023
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
59
67
0
19 Jan 2021
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,688
0
14 Apr 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
321
36,420
0
25 Aug 2016
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