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2105.14416
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Communication efficient privacy-preserving distributed optimization using adaptive differential quantization
30 May 2021
Qiongxiu Li
Richard Heusdens
M. G. Christensen
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ArXiv (abs)
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Papers citing
"Communication efficient privacy-preserving distributed optimization using adaptive differential quantization"
6 / 6 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
97
2
0
10 Mar 2025
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss
Wenrui Yu
Richard Heusdens
Jun Pang
Qiongxiu Li
60
3
0
16 Sep 2024
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
Wenrui Yu
Qiongxiu Li
Milan Lopuhaä-Zwakenberg
Mads Græsbøll Christensen
Richard Heusdens
FedML
80
4
0
12 Jul 2024
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Qiongxiu Li
Jaron Skovsted Gundersen
Milan Lopuhaä-Zwakenberg
Richard Heusdens
65
11
0
13 Dec 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning
Guangfeng Yan
Tan Li
Tian-Shing Lan
Kui Wu
Linqi Song
44
7
0
12 Dec 2023
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
Guangfeng Yan
Tan Li
Kui Wu
Linqi Song
58
13
0
26 Apr 2023
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