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Lagrange Coded Computing: Optimal Design for Resiliency, Security and
  Privacy

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy

4 June 2018
Qian-long Yu
Songze Li
Netanel Raviv
Seyed Mohammadreza Mousavi Kalan
Jinhyun So
A. Avestimehr
ArXivPDFHTML

Papers citing "Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy"

42 / 42 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
31
0
0
10 May 2025
Game of Coding With an Unknown Adversary
Game of Coding With an Unknown Adversary
Hanzaleh Akbarinodehi
Parsa Moradi
M. Maddah-ali
AAML
53
0
0
10 Feb 2025
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
V. Cadambe
Ateet Devulapalli
Haewon Jeong
Flavio du Pin Calmon
46
1
0
20 Jan 2025
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
Rawad Bitar
Maximilian Egger
Antonia Wachter-Zeh
M. Xhemrishi
37
4
0
11 Aug 2023
Probabilistic Group Testing in Distributed Computing with Attacked
  Workers
Probabilistic Group Testing in Distributed Computing with Attacked Workers
Sarthak Jain
Martina Cardone
S. Mohajer
16
0
0
11 May 2023
Transaction Confirmation in Coded Blockchain
Transaction Confirmation in Coded Blockchain
Ilan Tennenhouse
Netanel Raviv
26
1
0
10 May 2023
Vers: fully distributed Coded Computing System with Distributed Encoding
Vers: fully distributed Coded Computing System with Distributed Encoding
Nastaran Abadi Khooshemehr
M. Maddah-ali
FedML
27
2
0
12 Apr 2023
Securely Aggregated Coded Matrix Inversion
Securely Aggregated Coded Matrix Inversion
Neophytos Charalambides
Mert Pilanci
Alfred Hero
FedML
21
3
0
09 Jan 2023
Sequential Gradient Coding For Straggler Mitigation
Sequential Gradient Coding For Straggler Mitigation
M. Krishnan
Mohammadreza Ebrahimi
Ashish Khisti
21
0
0
24 Nov 2022
Scaling Blockchains with Error Correction Codes: A Survey on Coded
  Blockchains
Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains
Changlin Yang
Kwan-Wu Chin
Jiguang Wang
Xiaodong Wang
Ying Liu
Zibin Zheng
24
12
0
19 Aug 2022
Secure Linear MDS Coded Matrix Inversion
Secure Linear MDS Coded Matrix Inversion
Neophytos Charalambides
Mert Pilanci
Alfred Hero
21
5
0
13 Jul 2022
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving
  Deep Learning Using Trusted Hardware
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
H. Hashemi
Yongqin Wang
M. Annavaram
FedML
26
58
0
30 Jun 2022
Secure Federated Clustering
Secure Federated Clustering
Songze Li
Sizai Hou
Baturalp Buyukates
A. Avestimehr
FedML
23
9
0
31 May 2022
Breaking Blockchain's Communication Barrier with Coded Computation
Breaking Blockchain's Communication Barrier with Coded Computation
Canran Wang
Netanel Raviv
29
10
0
03 Apr 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
34
45
0
24 Mar 2022
Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at
  the Edge
Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at the Edge
Elahe Vedadi
Yasaman Keshtkarjahromi
H. Seferoglu
14
1
0
13 Mar 2022
Random Alloy Codes and the Fundamental Limits of Coded Distributed
  Tensors
Random Alloy Codes and the Fundamental Limits of Coded Distributed Tensors
Pedro Soto
18
0
0
07 Feb 2022
Analog Secure Distributed Matrix Multiplication over Complex Numbers
Analog Secure Distributed Matrix Multiplication over Complex Numbers
Okko Makkonen
Camilla Hollanti
16
6
0
07 Feb 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous
  Gradient Descent
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent
Pedro Soto
Ilia Ilmer
Haibin Guan
Jun Li
35
3
0
31 Jan 2022
Stochastic Coded Federated Learning with Convergence and Privacy
  Guarantees
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
Yuchang Sun
Jiawei Shao
Songze Li
Yuyi Mao
Jun Zhang
FedML
23
17
0
25 Jan 2022
Orthonormal Sketches for Secure Coded Regression
Orthonormal Sketches for Secure Coded Regression
Neophytos Charalambides
Hessam Mahdavifar
Mert Pilanci
Alfred Hero
20
8
0
21 Jan 2022
Successive Approximation Coding for Distributed Matrix Multiplication
Successive Approximation Coding for Distributed Matrix Multiplication
Shahrzad Kiani
S. Draper
24
9
0
10 Jan 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
43
417
0
24 Nov 2021
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
33
64
0
30 Jul 2021
Flexible Distributed Matrix Multiplication
Flexible Distributed Matrix Multiplication
Weiqi Li
Zhen Chen
Zhiying Wang
S. Jafar
Hamid Jafarkhani
32
6
0
22 Jul 2021
Federated Learning with Buffered Asynchronous Aggregation
Federated Learning with Buffered Asynchronous Aggregation
John Nguyen
Kshitiz Malik
Hongyuan Zhan
Ashkan Yousefpour
Michael G. Rabbat
Mani Malek
Dzmitry Huba
FedML
33
289
0
11 Jun 2021
Multi-Party Proof Generation in QAP-based zk-SNARKs
Multi-Party Proof Generation in QAP-based zk-SNARKs
Alireza Rahimi
M. Maddah-ali
17
9
0
01 Mar 2021
Building Blocks of Sharding Blockchain Systems: Concepts, Approaches,
  and Open Problems
Building Blocks of Sharding Blockchain Systems: Concepts, Approaches, and Open Problems
Yizhong Liu
Jianwei Liu
M. V. Salles
Zongyang Zhang
Tong Li
Bin Hu
F. Henglein
R. Lu
50
73
0
26 Feb 2021
On Gradient Coding with Partial Recovery
On Gradient Coding with Partial Recovery
Sahasrajit Sarmasarkar
V. Lalitha
Nikhil Karamchandani
26
8
0
19 Feb 2021
ByzShield: An Efficient and Robust System for Distributed Training
ByzShield: An Efficient and Robust System for Distributed Training
Konstantinos Konstantinidis
A. Ramamoorthy
AAML
FedML
32
11
0
10 Oct 2020
Communicate to Learn at the Edge
Communicate to Learn at the Edge
Deniz Gunduz
David Burth Kurka
Mikolaj Jankowski
M. Amiri
Emre Ozfatura
Sreejith Sreekumar
13
64
0
28 Sep 2020
Berrut Approximated Coded Computing: Straggler Resistance Beyond
  Polynomial Computing
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing
Tayyebeh Jahani-Nezhad
M. Maddah-ali
27
29
0
17 Sep 2020
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big
  Data in Industrial IoT
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
Anmin Fu
Xianglong Zhang
N. Xiong
Yansong Gao
Huaqun Wang
FedML
16
174
0
27 Jul 2020
Rateless Codes for Private Distributed Matrix-Matrix Multiplication
Rateless Codes for Private Distributed Matrix-Matrix Multiplication
Rawad Bitar
M. Xhemrishi
Antonia Wachter-Zeh
17
6
0
27 Apr 2020
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
Zhou Li
Hua Sun
32
11
0
13 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure
  Federated Learning
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
27
289
0
11 Feb 2020
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient
  Aggregation
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput
Hongyi Wang
Zachary B. Charles
Dimitris Papailiopoulos
FedML
16
131
0
29 Jul 2019
On the Upload versus Download Cost for Secure and Private Matrix
  Multiplication
On the Upload versus Download Cost for Secure and Private Matrix Multiplication
Wei-Ting Chang
Ravi Tandon
FedML
14
42
0
25 Jun 2019
Timely-Throughput Optimal Coded Computing over Cloud Networks
Timely-Throughput Optimal Coded Computing over Cloud Networks
Chien-Sheng Yang
Ramtin Pedarsani
A. Avestimehr
16
34
0
11 Apr 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed
  Machine Learning
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
Jinhyun So
Başak Güler
A. Avestimehr
FedML
19
114
0
02 Feb 2019
CodedSketch: A Coding Scheme for Distributed Computation of Approximated
  Matrix Multiplication
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication
Tayyebeh Jahani-Nezhad
M. Maddah-ali
21
41
0
26 Dec 2018
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and
  Security Simultaneously
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously
Songze Li
Mingchao Yu
Chien-Sheng Yang
A. Avestimehr
Sreeram Kannan
Pramod Viswanath
24
110
0
27 Sep 2018
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