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Privacy-Preserving Federated Learning over Vertically and Horizontally
  Partitioned Data for Financial Anomaly Detection

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

30 October 2023
S. Kadhe
Heiko Ludwig
Nathalie Baracaldo
Alan King
Yi Zhou
Keith Houck
Ambrish Rawat
Mark Purcell
N. Holohan
Mikio Takeuchi
Ryo Kawahara
Nir Drucker
Hayim Shaul
Eyal Kushnir
Omri Soceanu
    FedML
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Papers citing "Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection"

2 / 2 papers shown
Title
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
566
0
27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
131
157
0
22 Jul 2020
1