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Federated Learning with Reduced Information Leakage and Computation

Federated Learning with Reduced Information Leakage and Computation

10 October 2023
Tongxin Yin
Xueru Zhang
Mohammad Mahdi Khalili
Mingyan Liu
    FedML
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Papers citing "Federated Learning with Reduced Information Leakage and Computation"

4 / 4 papers shown
Title
Privacy-Aware Randomized Quantization via Linear Programming
Privacy-Aware Randomized Quantization via Linear Programming
Zhongteng Cai
Xueru Zhang
Mohammad Mahdi Khalili
33
2
0
01 Jun 2024
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
37
75
0
18 Feb 2021
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
101
118
0
09 Feb 2021
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
136
420
0
29 Nov 2018
1