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20172023
most citedFedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

336 citations · 1.1k across the 77 of their papers we have counts for

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cs.IT2023

On a Relation Between the Rate-Distortion Function and Optimal Transport

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

We discuss a relationship between rate-distortion and optimal transport (OT) theory, even though they seem to be unrelated at first glance. In particular, we show that a function d…

cs.IT2022★ 19 cited

Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

A fundamental question in designing lossy data compression schemes is how well one can do in comparison with the rate-distortion function, which describes the known theoretical lim…

cs.IT2022

Low-Complexity Decoding of a Class of Reed-Muller Subcodes for Low-Capacity Channels

Mohammad Vahid Jamali, Mohammad Fereydounian, Hessam Mahdavifar +1

We present a low-complexity and low-latency decoding algorithm for a class of Reed-Muller (RM) subcodes that are defined based on the product of smaller RM codes. More specifically…

cs.IT2018

Channel Coding at Low Capacity

Mohammad Fereydounian, Hamed Hassani, Mohammad Vahid Jamali +1

Low-capacity scenarios have become increasingly important in the technology of the Internet of Things (IoT) and the next generation of wireless networks. Such scenarios require eff…

cs.IT2017

Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels

Arman Fazeli, S. Hamed Hassani, Marco Mondelli +1

We prove that, for the binary erasure channel (BEC), the polar-coding paradigm gives rise to codes that not only approach the Shannon limit but do so under the best possible scalin…