Qian Yu

Yury Polyanskiy

IEEE Trans. Inf. Theory, 2024

2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021

Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Download and Access Trade-offs in Lagrange Coded Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

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

[BibT_eX]

[DOI]

Seyed Mohammadreza Mousavi Kalan

Netanel Raviv

Mahdi Soltanolkotabi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Fundamental Tradeoff Between Computation and Communication in Distributed Computing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

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

[BibT_eX]

[DOI]

Netanel Raviv

Jinhyun So

CoRR, 2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding.

[BibT_eX]

[DOI]

Seyed Mohammadreza Mousavi Kalan

Mahdi Soltanolkotabi

CoRR, 2018

Coding for Private and Secure Multiparty Computing.

[BibT_eX]

[DOI]

Netanel Raviv

Proceedings of the IEEE Information Theory Workshop, 2018

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

A Scalable Framework for Wireless Distributed Computing.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2017

Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication.

[BibT_eX]

[DOI]

Salman Avestimehr

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Communication-optimal coding designs for caching networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

The exact rate-memory tradeoff for caching with uncoded prefetching.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Characterizing the rate-memory tradeoff in cache networks within a factor of 2.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

How to optimally allocate resources for coded distributed computing?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

Coded fourier transform.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Edge-Facilitated Wireless Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2016

Coded distributed computing: Fundamental limits and practical challenges.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

The Asymptotic Solutions of the Capacity Maximal Quantization Problem.

[BibT_eX]

[DOI]