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Private Retrieval, Computing and Learning: Recent Progress and Future
  Challenges

Private Retrieval, Computing and Learning: Recent Progress and Future Challenges

30 July 2021
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
    FedML
ArXivPDFHTML

Papers citing "Private Retrieval, Computing and Learning: Recent Progress and Future Challenges"

37 / 37 papers shown
Title
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Xavier Martínez-Luaña
M. Fernández-Veiga
R. Redondo
Ana Fernández Vilas
FedML
19
0
0
10 May 2025
New Capacity Bounds for PIR on Graph and Multigraph-Based Replicated Storage
New Capacity Bounds for PIR on Graph and Multigraph-Based Replicated Storage
Xiangliang Kong
S. Meel
Thomas Jacob Maranzatto
Itzhak Tamo
S. Ulukus
27
1
0
29 Apr 2025
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Federated One-Shot Learning with Data Privacy and Objective-Hiding
Maximilian Egger
Rüdiger Urbanke
Rawad Bitar
FedML
54
0
0
29 Apr 2025
The Asymptotic Capacity of Byzantine Symmetric Private Information Retrieval and Its Consequences
The Asymptotic Capacity of Byzantine Symmetric Private Information Retrieval and Its Consequences
M. Nomeir
Alptug Aytekin
S. Ulukus
58
0
0
28 Jan 2025
Byzantine-Eavesdropper Alliance: How to Achieve Symmetric Privacy in
  Quantum $X$-Secure $B$-Byzantine $E$-Eavesdropped $U$-Unresponsive
  $T$-Colluding PIR?
Byzantine-Eavesdropper Alliance: How to Achieve Symmetric Privacy in Quantum XXX-Secure BBB-Byzantine EEE-Eavesdropped UUU-Unresponsive TTT-Colluding PIR?
M. Nomeir
Alptug Aytekin
S. Ulukus
59
1
0
09 Dec 2024
Private Counterfactual Retrieval With Immutable Features
Private Counterfactual Retrieval With Immutable Features
S. Meel
Pasan Dissanayake
M. Nomeir
Sanghamitra Dutta
S. Ulukus
OffRL
28
0
0
15 Nov 2024
Collaborative Inference over Wireless Channels with Feature Differential
  Privacy
Collaborative Inference over Wireless Channels with Feature Differential Privacy
Mohamed Seif
Yuqi Nie
Andrea J. Goldsmith
H. Poor
16
1
0
25 Oct 2024
Private Counterfactual Retrieval
Private Counterfactual Retrieval
M. Nomeir
Pasan Dissanayake
S. Meel
Sanghamitra Dutta
S. Ulukus
14
1
0
17 Oct 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Privacy-aware Berrut Approximated Coded Computing for Federated Learning
Xavier Martínez Luana
Rebeca P. Díaz Redondo
M. Fernández-Veiga
FedML
18
2
0
02 May 2024
Private Multiple Linear Computation: A Flexible
  Communication-Computation Tradeoff
Private Multiple Linear Computation: A Flexible Communication-Computation Tradeoff
Jinbao Zhu
Lanping Li
Xiaohu Tang
Ping Deng
13
1
0
14 Apr 2024
Perfect Multi-User Distributed Computing
Perfect Multi-User Distributed Computing
Ali Khalesi
P. Elia
11
2
0
04 Feb 2024
Quantum $X$-Secure $B$-Byzantine $T$-Colluding Private Information
  Retrieval
Quantum XXX-Secure BBB-Byzantine TTT-Colluding Private Information Retrieval
M. Nomeir
Alptug Aytekin
S. Ulukus
17
4
0
30 Jan 2024
Quantum Private Membership Aggregation
Quantum Private Membership Aggregation
Alptug Aytekin
M. Nomeir
S. Ulukus
17
1
0
29 Jan 2024
HetDAPAC: Distributed Attribute-Based Private Access Control with
  Heterogeneous Attributes
HetDAPAC: Distributed Attribute-Based Private Access Control with Heterogeneous Attributes
S. Meel
S. Ulukus
12
0
0
24 Jan 2024
Distributed Optimization with Feasible Set Privacy
Distributed Optimization with Feasible Set Privacy
S. Meel
S. Ulukus
17
0
0
04 Dec 2023
Private Membership Aggregation
Private Membership Aggregation
M. Nomeir
Sajani Vithana
S. Ulukus
17
1
0
07 Sep 2023
Quantum Symmetric Private Information Retrieval with Secure Storage and
  Eavesdroppers
Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers
Alptug Aytekin
M. Nomeir
Sajani Vithana
S. Ulukus
10
10
0
21 Aug 2023
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
Rawad Bitar
Maximilian Egger
A. Wachter-Zeh
M. Xhemrishi
23
4
0
11 Aug 2023
Sparse and Private Distributed Matrix Multiplication with Straggler
  Tolerance
Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance
Maximilian Egger
M. Xhemrishi
A. Wachter-Zeh
Rawad Bitar
20
3
0
27 Jun 2023
Fast and Straggler-Tolerant Distributed SGD with Reduced Computation
  Load
Fast and Straggler-Tolerant Distributed SGD with Reduced Computation Load
Maximilian Egger
Serge Kas Hanna
Rawad Bitar
FedML
15
0
0
17 Apr 2023
Private Read-Update-Write with Controllable Information Leakage for
  Storage-Efficient Federated Learning with Top $r$ Sparsification
Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top rrr Sparsification
Sajani Vithana
S. Ulukus
FedML
10
5
0
07 Mar 2023
Private Read Update Write (PRUW) With Heterogeneous Databases
Private Read Update Write (PRUW) With Heterogeneous Databases
Sajani Vithana
S. Ulukus
14
2
0
07 Feb 2023
$k$-server Byzantine-Resistant PIR Scheme with Optimal Download Rate and
  Optimal File Size
kkk-server Byzantine-Resistant PIR Scheme with Optimal Download Rate and Optimal File Size
S. Kruglik
Son Hoang Dau
Han Mao Kiah
Huaxiong Wang
11
4
0
04 Feb 2023
Committed Private Information Retrieval
Committed Private Information Retrieval
Q. Cao
Hong-Yen Tran
Son Hoang Dau
X. Yi
Emanuele Viterbo
Chen Feng
Yu-Chih Huang
Jingge Zhu
S. Kruglik
Han Mao Kiah
10
6
0
03 Feb 2023
Two-Server Private Information Retrieval with Optimized Download Rate
  and Result Verification
Two-Server Private Information Retrieval with Optimized Download Rate and Result Verification
S. Kruglik
Son Hoang Dau
Han Mao Kiah
Huaxiong Wang
14
4
0
27 Jan 2023
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
Sajani Vithana
S. Ulukus
FedML
13
19
0
09 Sep 2022
Secure Embedding Aggregation for Federated Representation Learning
Secure Embedding Aggregation for Federated Representation Learning
Jiaxiang Tang
Jinbao Zhu
Songze Li
Lichao Sun
FedML
11
0
0
18 Jun 2022
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
13
8
0
07 Jun 2022
Private Federated Submodel Learning with Sparsification
Private Federated Submodel Learning with Sparsification
Sajani Vithana
S. Ulukus
FedML
17
10
0
31 May 2022
Differentially Private Federated Learning via Reconfigurable Intelligent
  Surface
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Yuhan Yang
Yong Zhou
Youlong Wu
Yuanming Shi
20
25
0
31 Mar 2022
Private Read Update Write (PRUW) with Storage Constrained Databases
Private Read Update Write (PRUW) with Storage Constrained Databases
Sajani Vithana
S. Ulukus
14
13
0
07 Feb 2022
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton
  Bound
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound
Christoph Hofmeister
Rawad Bitar
M. Xhemrishi
A. Wachter-Zeh
17
15
0
12 Aug 2021
List-Decodable Coded Computing: Breaking the Adversarial Toleration
  Barrier
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier
M. Soleymani
Ramy E. Ali
Hessam Mahdavifar
A. Avestimehr
23
22
0
27 Jan 2021
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
59
66
0
19 Jan 2021
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
Zhou Li
Hua Sun
9
11
0
13 Feb 2020
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
134
420
0
29 Nov 2018
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
79
278
0
02 Oct 2017
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