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Private Read Update Write (PRUW) in Federated Submodel Learning (FSL):
  Communication Efficient Schemes With and Without Sparsification

Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification

9 September 2022
Sajani Vithana
S. Ulukus
    FedML
ArXivPDFHTML

Papers citing "Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification"

44 / 44 papers shown
Title
Rate Distortion Tradeoff in Private Read Update Write in Federated
  Submodel Learning
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning
Sajani Vithana
S. Ulukus
FedML
56
8
0
07 Jun 2022
Private Federated Submodel Learning with Sparsification
Private Federated Submodel Learning with Sparsification
Sajani Vithana
S. Ulukus
FedML
54
10
0
31 May 2022
Time-Correlated Sparsification for Efficient Over-the-Air Model
  Aggregation in Wireless Federated Learning
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
Yuxuan Sun
Sheng Zhou
Z. Niu
Deniz Gündüz
22
21
0
17 Feb 2022
Private Read Update Write (PRUW) with Storage Constrained Databases
Private Read Update Write (PRUW) with Storage Constrained Databases
Sajani Vithana
S. Ulukus
47
13
0
07 Feb 2022
Private Retrieval, Computing and Learning: Recent Progress and Future
  Challenges
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
64
66
0
30 Jul 2021
Time-Correlated Sparsification for Communication-Efficient Federated
  Learning
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
47
47
0
21 Jan 2021
Differentially private cross-silo federated learning
Differentially private cross-silo federated learning
Mikko A. Heikkilä
A. Koskela
Kana Shimizu
Samuel Kaski
Antti Honkela
FedML
39
24
0
10 Jul 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD
rTop-k: A Statistical Estimation Approach to Distributed SGD
L. P. Barnes
Huseyin A. Inan
Berivan Isik
Ayfer Özgür
41
65
0
21 May 2020
Inverting Gradients -- How easy is it to break privacy in federated
  learning?
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping
Hartmut Bauermeister
Hannah Dröge
Michael Moeller
FedML
72
1,207
0
31 Mar 2020
Semantic Private Information Retrieval
Semantic Private Information Retrieval
Sajani Vithana
Karim A. Banawan
S. Ulukus
18
38
0
30 Mar 2020
Locally Private Distributed Reinforcement Learning
Locally Private Distributed Reinforcement Learning
Hajime Ono
Tsubasa Takahashi
OffRL
33
23
0
31 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An
  Online Learning Approach
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han
Shiqiang Wang
K. Leung
FedML
45
175
0
14 Jan 2020
Private Set Intersection: A Multi-Message Symmetric Private Information
  Retrieval Perspective
Private Set Intersection: A Multi-Message Symmetric Private Information Retrieval Perspective
Zhusheng Wang
Karim A. Banawan
S. Ulukus
35
43
0
31 Dec 2019
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
98
6,177
0
10 Dec 2019
Secure Federated Submodel Learning
Secure Federated Submodel Learning
Chaoyue Niu
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
Zhihua Wu
Guihai Chen
FedML
26
30
0
06 Nov 2019
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
231
767
0
28 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
Federated Learning: Challenges, Methods, and Future Directions
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
83
4,470
0
21 Aug 2019
Deep Leakage from Gradients
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
59
2,185
0
21 Jun 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification,
  and Local Computations
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification, and Local Computations
Debraj Basu
Deepesh Data
C. Karakuş
Suhas Diggavi
MQ
34
403
0
06 Jun 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
41
1,343
0
07 Mar 2019
The Privacy Blanket of the Shuffle Model
The Privacy Blanket of the Shuffle Model
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
56
237
0
07 Mar 2019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From
  Federated Learning
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Peng Kuang
Mengkai Song
Zhifei Zhang
Yang Song
Qian Wang
Hairong Qi
FedML
55
780
0
03 Dec 2018
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
167
423
0
29 Nov 2018
The Convergence of Sparsified Gradient Methods
The Convergence of Sparsified Gradient Methods
Dan Alistarh
Torsten Hoefler
M. Johansson
Sarit Khirirat
Nikola Konstantinov
Cédric Renggli
105
491
0
27 Sep 2018
Capacity-Achieving Private Information Retrieval Codes with Optimal
  Message Size and Upload Cost
Capacity-Achieving Private Information Retrieval Codes with Optimal Message Size and Upload Cost
C. Tian
Hua Sun
Jun Chen
32
116
0
22 Aug 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and
  Divergences
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle
Gilles Barthe
Marco Gaboardi
59
382
0
04 Jul 2018
cpSGD: Communication-efficient and differentially-private distributed
  SGD
cpSGD: Communication-efficient and differentially-private distributed SGD
Naman Agarwal
A. Suresh
Felix X. Yu
Sanjiv Kumar
H. B. McMahan
FedML
109
490
0
27 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
128
1,461
0
10 May 2018
The Capacity of Private Information Retrieval with Eavesdroppers
The Capacity of Private Information Retrieval with Eavesdroppers
Qiwen Wang
Hua Sun
Mikael Skoglund
18
51
0
26 Apr 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in
  Neural Networks
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
D. Song
108
1,128
0
22 Feb 2018
Differentially Private Federated Learning: A Client Level Perspective
Differentially Private Federated Learning: A Client Level Perspective
Robin C. Geyer
T. Klein
Moin Nabi
FedML
85
1,287
0
20 Dec 2017
Gradient Sparsification for Communication-Efficient Distributed
  Optimization
Gradient Sparsification for Communication-Efficient Distributed Optimization
Jianqiao Wangni
Jialei Wang
Ji Liu
Tong Zhang
68
521
0
26 Oct 2017
Private Information Retrieval with Side Information
Private Information Retrieval with Side Information
S. Kadhe
B. Garcia
A. Heidarzadeh
Salim el Rouayheb
A. Sprintson
20
136
0
01 Sep 2017
The Capacity of Private Information Retrieval from Byzantine and
  Colluding Databases
The Capacity of Private Information Retrieval from Byzantine and Colluding Databases
Karim A. Banawan
S. Ulukus
26
181
0
05 Jun 2017
Multi-Message Private Information Retrieval: Capacity Results and
  Near-Optimal Schemes
Multi-Message Private Information Retrieval: Capacity Results and Near-Optimal Schemes
Karim A. Banawan
S. Ulukus
25
144
0
06 Feb 2017
Private Information Retrieval from MDS Coded Data with Colluding
  Servers: Settling a Conjecture by Freij-Hollanti et al.
Private Information Retrieval from MDS Coded Data with Colluding Servers: Settling a Conjecture by Freij-Hollanti et al.
Hua Sun
S. Jafar
24
112
0
26 Jan 2017
Multiround Private Information Retrieval: Capacity and Storage Overhead
Multiround Private Information Retrieval: Capacity and Storage Overhead
Hua Sun
S. Jafar
21
81
0
07 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
200
4,075
0
18 Oct 2016
The Capacity of Private Information Retrieval from Coded Databases
The Capacity of Private Information Retrieval from Coded Databases
Karim A. Banawan
S. Ulukus
12
331
0
26 Sep 2016
The Capacity of Symmetric Private Information Retrieval
The Capacity of Symmetric Private Information Retrieval
Hua Sun
S. Jafar
20
190
0
28 Jun 2016
The Capacity of Robust Private Information Retrieval with Colluding
  Databases
The Capacity of Robust Private Information Retrieval with Colluding Databases
Hua Sun
S. Jafar
24
292
0
02 May 2016
The Capacity of Private Information Retrieval
The Capacity of Private Information Retrieval
Hua Sun
S. Jafar
25
404
0
29 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
226
17,235
0
17 Feb 2016
Secure Degrees of Freedom of Multi-user Networks: One-Time-Pads in the
  Air via Alignment
Secure Degrees of Freedom of Multi-user Networks: One-Time-Pads in the Air via Alignment
Jianwei Xie
S. Ulukus
33
6
0
08 Jul 2015
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