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CRS-FL: Conditional Random Sampling for Communication-Efficient and
  Privacy-Preserving Federated Learning

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning

1 June 2023
Jianhua Wang
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Lin Li
Yingying Yao
    FedML
ArXivPDFHTML

Papers citing "CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning"

3 / 3 papers shown
Title
PA-iMFL: Communication-Efficient Privacy Amplification Method against
  Data Reconstruction Attack in Improved Multi-Layer Federated Learning
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning
Jianhua Wang
Xiaolin Chang
Jelena Mivsić
Vojislav B. Mivsić
Zhi Chen
Junchao Fan
39
2
0
25 Sep 2023
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
70
90
0
30 Sep 2021
Ternary Compression for Communication-Efficient Federated Learning
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu
W. Du
Ran Cheng
Wangli He
Yaochu Jin
MQ
FedML
39
174
0
07 Mar 2020
1