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Private Federated Learning with Autotuned Compression

Private Federated Learning with Autotuned Compression

20 July 2023
Enayat Ullah
Christopher A. Choquette-Choo
Peter Kairouz
Sewoong Oh
    FedML
ArXivPDFHTML

Papers citing "Private Federated Learning with Autotuned Compression"

12 / 12 papers shown
Title
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
86
0
0
03 Oct 2024
Federated Learning of Gboard Language Models with Differential Privacy
Federated Learning of Gboard Language Models with Differential Privacy
Zheng Xu
Yanxiang Zhang
Galen Andrew
Christopher A. Choquette-Choo
Peter Kairouz
H. B. McMahan
Jesse Rosenstock
Yuanbo Zhang
FedML
74
78
0
29 May 2023
Improved Utility Analysis of Private CountSketch
Improved Utility Analysis of Private CountSketch
Rasmus Pagh
M. Thorup
FedML
64
20
0
17 May 2022
Correlated quantization for distributed mean estimation and optimization
Correlated quantization for distributed mean estimation and optimization
A. Suresh
Ziteng Sun
Jae Hun Ro
Felix X. Yu
51
12
0
09 Mar 2022
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
66
76
0
18 Feb 2021
Adaptive Quantization of Model Updates for Communication-Efficient
  Federated Learning
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
Divyansh Jhunjhunwala
Advait Gadhikar
Gauri Joshi
Yonina C. Eldar
FedML
MQ
43
108
0
08 Feb 2021
FetchSGD: Communication-Efficient Federated Learning with Sketching
FetchSGD: Communication-Efficient Federated Learning with Sketching
D. Rothchild
Ashwinee Panda
Enayat Ullah
Nikita Ivkin
Ion Stoica
Vladimir Braverman
Joseph E. Gonzalez
Raman Arora
FedML
50
363
0
15 Jul 2020
Locally private non-asymptotic testing of discrete distributions is
  faster using interactive mechanisms
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
Thomas B. Berrett
C. Butucea
44
34
0
26 May 2020
Private Mean Estimation of Heavy-Tailed Distributions
Private Mean Estimation of Heavy-Tailed Distributions
Gautam Kamath
Vikrant Singhal
Jonathan R. Ullman
64
99
0
21 Feb 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and
  Mean Estimation
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun
Thomas Steinke
61
74
0
06 Jun 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed
  Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
53
298
0
25 May 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
57
288
0
07 Mar 2018
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