activity
20092026
most citedAchieving the Secrecy Capacity of Wiretap Channels Using Polar Codes

374 citations · 818 across the 73 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.LG2021

Federated Learning with Heterogeneous Differential Privacy

Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami

Federated learning (FL) takes a first step towards privacy-preserving machine learning by training models while keeping client data local. Models trained using FL may still leak pr…

cs.LG2021

ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar +1

Due to the surge of cloud-assisted AI services, the problem of designing resilient prediction serving systems that can effectively cope with stragglers/failures and minimize respon…

cs.IT2021★ 6 cited

Generalized Fractional Repetition Codes for Binary Coded Computations

Neophytos Charalambides, Hessam Mahdavifar, Alfred O. Hero

This paper addresses the gradient coding and coded matrix multiplication problems in distributed optimization and coded computing. We present a numerically stable binary coding met…

cs.IT2021★ 4 cited

KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning

Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali +3

Landmark codes underpin reliable physical layer communication, e.g., Reed-Muller, BCH, Convolution, Turbo, LDPC and Polar codes: each is a linear code and represents a mathematical…

cs.IT2021

Hybrid Non-Binary Repeated Polar Codes

Fariba Abbasi, Hessam Mahdavifar, Emanuele Viterbo

Concatenating the state-of-the-art codes at moderate rates with repetition codes has emerged as a practical solution deployed in various standards for ultra-low-power devices such…

cs.IT2021

Coded Computing via Binary Linear Codes: Designs and Performance Limits

Mahdi Soleymani, Mohammad Vahid Jamali, Hessam Mahdavifar

We consider the problem of coded distributed computing where a large linear computational job, such as a matrix multiplication, is divided into smaller tasks, encoded using an…

cs.IT2021

Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding

Mohammad Vahid Jamali, Xiyang Liu, Ashok Vardhan Makkuva +3

Reed-Muller (RM) codes are conjectured to achieve the capacity of any binary-input memoryless symmetric (BMS) channel, and are observed to have a comparable performance to that of…

cs.IT2021

List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier

Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar +1

We consider the problem of coded computing, where a computational task is performed in a distributed fashion in the presence of adversarial workers. We propose techniques to break…