17 citations · 22 across the 8 of their papers we have counts for
9 papers
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…
Network Decoding
Allison Beemer, Altan Berdan Kilic, Alberto Ravagnani
We consider the problem of error control in a coded, multicast network, focusing on the scenario where the errors can occur only on a proper subset of the network edges. We model t…
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…
Keyless Authentication for AWGN Channels
Eric Graves, Allison Beemer, Jorg Kliewer +2
This work establishes that the physical layer can be used to perform information-theoretic authentication in additive white Gaussian noise channels, as long as the adversary is not…
The Curious Case of the Diamond Network
Allison Beemer, Alberto Ravagnani
This work considers the one-shot capacity of communication networks subject to adversarial noise affecting a subset of network edges. In particular, we examine previously-establish…
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…