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Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

15 February 2022
Jamie Cui
Chaochao Chen
Lingjuan Lyu
Carl Yang
Li Wang
ArXivPDFHTML

Papers citing "Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation"

11 / 11 papers shown
Title
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
Aidan Ferguson
Perry Gibson
Lara DÁgata
Parker McLeod
Ferhat Yaman
Amitabh Das
Ian Colbert
José Cano
63
0
0
12 Mar 2025
CipherPrune: Efficient and Scalable Private Transformer Inference
CipherPrune: Efficient and Scalable Private Transformer Inference
Yancheng Zhang
Jinbao Xue
Mengxin Zheng
Mimi Xie
Mingzhe Zhang
Lei Jiang
Qian Lou
64
2
0
24 Feb 2025
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning
  Systems
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
Anastasiia Zakharova
Dmitriy Alexandrov
M. Khodorchenko
N. Butakov
Alexey Vasilev
Maxim Savchenko
Alexander Grigorievskiy
FedML
27
0
0
23 Sep 2024
Active-Passive Federated Learning for Vertically Partitioned Multi-view
  Data
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
Jiyuan Liu
Xinwang Liu
Siqi Wang
Xingchen Hu
Qing Liao
Xinhang Wan
Yi Zhang
Xin Lv
Kunlun He
FedML
43
0
0
06 Sep 2024
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving
  Cross-Domain Recommendation
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
Xinting Liao
Weiming Liu
Xiaolin Zheng
Binhui Yao
Chaochao Chen
36
13
0
11 May 2023
Efficiency Boosting of Secure Cross-platform Recommender Systems over
  Sparse Data
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data
Hao Ren
Guowen Xu
Tianwei Zhang
Jianting Ning
Xinyi Huang
Hongwei Li
Rongxing Lu
24
1
0
03 Dec 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
57
161
0
23 Nov 2022
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph
  Convolutional Network Inference
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran
Nuo Xu
Wei Wang
Quan Gang
Jieming Yin
Wujie Wen
GNN
31
20
0
24 Sep 2022
Differential Private Knowledge Transfer for Privacy-Preserving
  Cross-Domain Recommendation
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Chaochao Chen
Huiwen Wu
Jiajie Su
Lingjuan Lyu
Xiaolin Zheng
L. xilinx Wang
40
71
0
10 Feb 2022
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
99
235
0
16 Sep 2019
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