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Analog Lagrange Coded Computing

19 August 2020

Papers citing "Analog Lagrange Coded Computing"

34 / 34 papers shown

Title
SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation Tian Wen Sheng Sun Yuwei Wang Peiyan Chen Zhiyuan Wu Min Liu Bo Gao FedML 54 0 0 19 May 2025
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning Xavier Martínez-Luaña M. Fernández-Veiga R. Redondo Ana Fernández Vilas FedML 56 0 0 10 May 2025
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise V. Cadambe Ateet Devulapalli Haewon Jeong Flavio du Pin Calmon 72 1 0 20 Jan 2025
Algebraic Geometric Rook Codes for Coded Distributed Computing Gretchen L. Matthews Pedro Soto AI4CE 70 1 0 16 May 2024
Privacy-aware Berrut Approximated Coded Computing for Federated Learning Xavier Martínez Luana Rebeca P. Díaz Redondo Manuel Fernández-Veiga FedML 69 2 0 02 May 2024
Perfect Multi-User Distributed Computing Ali Khalesi P. Elia 60 2 0 04 Feb 2024
Analog Multi-Party Computing: Locally Differential Private Protocols for Collaborative Computations Hsuan-Po Liu M. Soleymani Hessam Mahdavifar 47 1 0 24 Aug 2023
Securely Aggregated Coded Matrix Inversion Neophytos Charalambides Mert Pilanci Alfred Hero FedML 37 3 0 09 Jan 2023
Secure Linear MDS Coded Matrix Inversion Neophytos Charalambides Mert Pilanci Alfred Hero 51 5 0 13 Jul 2022
A Learning-Based Approach to Approximate Coded Computation Navneet Agrawal Yuqin Qiu M. Frey Igor Bjelakovic S. Maghsudi S. Stańczak Jingge Zhu 63 3 0 19 May 2022
Sparse Random Khatri-Rao Product Codes for Distributed Matrix Multiplication Ruowan Ji A. Heidarzadeh Krishna R. Narayanan 55 7 0 12 May 2022
Analog Secure Distributed Matrix Multiplication over Complex Numbers Okko Makkonen Camilla Hollanti 44 7 0 07 Feb 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems M. Soleymani Ramy E. Ali Hessam Mahdavifar A. Avestimehr 77 5 0 20 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges S. Ulukus Salman Avestimehr Michael C. Gastpar S. Jafar Ravi Tandon Chao Tian FedML 97 67 0 30 Jul 2021
Coded Computing via Binary Linear Codes: Designs and Performance Limits M. Soleymani Mohammad Vahid Jamali Hessam Mahdavifar 62 9 0 02 Mar 2021
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier M. Soleymani Ramy E. Ali Hessam Mahdavifar A. Avestimehr 48 24 0 27 Jan 2021
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 59 51 0 03 Nov 2020
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing Tayyebeh Jahani-Nezhad M. Maddah-ali 62 30 0 17 Sep 2020
Privacy-Preserving Distributed Learning in the Analog Domain M. Soleymani Hessam Mahdavifar A. Avestimehr 50 18 0 17 Jul 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 87 298 0 11 Feb 2020
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier Qian-long Yu A. Avestimehr 44 76 0 15 Jan 2020
Secure Evaluation of Quantized Neural Networks Anders Dalskov Daniel E. Escudero Marcel Keller 59 142 0 28 Oct 2019
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 141 243 0 16 Sep 2019
Coded Distributed Computing: Performance Limits and Code Designs Mohammad Vahid Jamali M. Soleymani Hessam Mahdavifar 100 16 0 24 Jun 2019
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 75 116 0 02 Feb 2019
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach A. Das A. Ramamoorthy 51 31 0 25 Jan 2019
Secure Computation for Machine Learning With SPDZ Valerie Chen Valerio Pastro Mariana Raykova 37 64 0 02 Jan 2019
Private Polynomial Computation from Lagrange Encoding Netanel Raviv David A. Karpuk FedML 33 57 0 10 Dec 2018
Private Machine Learning in TensorFlow using Secure Computation Morten Dahl Jason V. Mancuso Yann Dupis Ben Decoste Morgan Giraud Ian Livingstone Justin Patriquin Gavin Uhma FedML 50 77 0 18 Oct 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu FedML 99 90 0 06 Jun 2018
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy Qian-long Yu Songze Li Netanel Raviv Seyed Mohammadreza Mousavi Kalan Jinhyun So A. Avestimehr 89 389 0 04 Jun 2018
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Speeding Up Distributed Machine Learning Using Codes Kangwook Lee Maximilian Lam Ramtin Pedarsani Dimitris Papailiopoulos Kannan Ramchandran 200 858 0 08 Dec 2015
A Cryptographic Treatment of the Wiretap Channel M. Bellare Stefano Tessaro A. Vardy 69 76 0 10 Jan 2012