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Federated Learning with Sparsification-Amplified Privacy and Adaptive
  Optimization

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization

1 August 2020
Rui Hu
Yanmin Gong
Yuanxiong Guo
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization"

10 / 10 papers shown
Title
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance
Haichao Sha
Ruixuan Liu
Yi-xiao Liu
Hong Chen
52
1
0
06 Dec 2023
Byzantine-Robust Federated Learning with Variance Reduction and
  Differential Privacy
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Zikai Zhang
Rui Hu
41
11
0
07 Sep 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
43
23
0
20 Jul 2023
Towards the Flatter Landscape and Better Generalization in Federated
  Learning under Client-level Differential Privacy
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Yi Shi
Kang Wei
Li Shen
Yingqi Liu
Xueqian Wang
Bo Yuan
Dacheng Tao
FedML
41
2
0
01 May 2023
Communication and Energy Efficient Wireless Federated Learning with
  Intrinsic Privacy
Communication and Energy Efficient Wireless Federated Learning with Intrinsic Privacy
Zhenxiao Zhang
Yuanxiong Guo
Yuguang Fang
Yanmin Gong
36
4
0
15 Apr 2023
FedSkip: Combatting Statistical Heterogeneity with Federated Skip
  Aggregation
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya Zhang
Qinghua Tian
FedML
21
20
0
14 Dec 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
23
9
0
26 Apr 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation
FedCAT: Towards Accurate Federated Learning via Device Concatenation
Ming Hu
Tian Liu
Zhiwei Ling
Zhihao Yue
Mingsong Chen
FedML
24
1
0
23 Feb 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
37
76
0
25 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
150
420
0
29 Nov 2018
1