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The Effect of Quantization in Federated Learning: A Rényi Differential
  Privacy Perspective

The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective

16 May 2024
Tianqu Kang
Lumin Liu
Hengtao He
Jun Zhang
Shenghui Song
Khaled B. Letaief
    FedML
ArXivPDFHTML

Papers citing "The Effect of Quantization in Federated Learning: A Rényi Differential Privacy Perspective"

3 / 3 papers shown
Title
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
60
1
0
10 Mar 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Ayana Moshruba
Shay Snyder
Hamed Poursiami
Maryam Parsa
AAML
71
2
0
25 Feb 2025
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
176
764
0
28 Sep 2019
1