20 citations · 29 across the 15 of their papers we have counts for
16 papers
A Joint Power-Privacy Control Framework for Decentralized Learning over Heterogeneous Wireless Multicasting Networks
Amir Ziaeddini, Yauhen Yakimenka, Joerg Kliewer
In this paper, we propose a decentralized learning framework that incorporates both power control and privacy guarantees. Specifically, we enable a set of clients in a wireless mul…
VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence
Mayank Bakshi, Sara Ghasvarianjahromi, Yauhen Yakimenka +3
We introduce the paradigm of validated decentralized learning for undirected networks with heterogeneous data and possible adversarial infiltration. We require (a) convergence to a…
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes
Salman Habib, Allison Beemer, Joerg Kliewer
In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized…
Nested Array-Based Spatially Coupled LDPC Codes
Salman Habib, David G. M. Mitchell, Joerg Kliewer
Linear nested codes, where two or more sub-codes are nested in a global code, have been proposed as candidates for reliable multi-terminal communication. In this paper, we consider…
Information Leakage in Zero-Error Source Coding: A Graph-Theoretic Perspective
Yucheng Liu, Lawrence Ong, Sarah Johnson +3
We study the information leakage to a guessing adversary in zero-error source coding. The source coding problem is defined by a confusion graph capturing the distinguishability bet…
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
Salman Habib, Allison Beemer, Joerg Kliewer
We show in this work that reinforcement learning can be successfully applied to decoding short to moderate length sparse graph-based channel codes. Specifically, we focus on low-de…