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Scalable and Privacy-Preserving Federated Principal Component Analysis

Scalable and Privacy-Preserving Federated Principal Component Analysis

31 March 2023
D. Froelicher
Hyunghoon Cho
Manaswitha Edupalli
João Sá Sousa
Jean-Philippe Bossuat
Apostolos Pyrgelis
J. Troncoso-Pastoriza
Bonnie Berger
Jean-Pierre Hubaux
    FedML
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Papers citing "Scalable and Privacy-Preserving Federated Principal Component Analysis"

7 / 7 papers shown
Title
Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption
Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption
Krishna Sai Tarun Ramapragada
Utsav Banerjee
28
0
0
20 Apr 2025
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks
Chenyi Huang
Xinrong Li
Xianchao Xiu
41
0
0
31 Mar 2025
Fast Homomorphic Linear Algebra with BLAS
Fast Homomorphic Linear Algebra with BLAS
Youngjin Bae
Jung Hee Cheon
G. Hanrot
J. Park
D. Stehlé
44
0
0
20 Mar 2025
Rapid Grassmannian Averaging with Chebyshev Polynomials
Rapid Grassmannian Averaging with Chebyshev Polynomials
Brighton Ancelin
Alex Saad-Falcon
Kason Ancelin
J. Romberg
34
0
0
11 Oct 2024
Privacy of federated QR decomposition using additive secure multiparty
  computation
Privacy of federated QR decomposition using additive secure multiparty computation
Anne Hartebrodt
Richard Rottger
FedML
23
1
0
12 Oct 2022
Verifiable Encodings for Secure Homomorphic Analytics
Verifiable Encodings for Secure Homomorphic Analytics
Sylvain Chatel
Christian Knabenhans
Apostolos Pyrgelis
Carmela Troncoso
Jean-Pierre Hubaux
28
19
0
28 Jul 2022
Federated singular value decomposition for high dimensional data
Federated singular value decomposition for high dimensional data
Anne Hartebrodt
Richard Rottger
David B. Blumenthal
FedML
24
11
0
24 May 2022
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