132 citations · 1.3k across the 52 of their papers we have counts for
5 papers · 1 filter
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Talal Ahmed, Haroon Raja, Waheed U. Bajwa
This paper studies a tensor-structured linear regression model with a scalar response variable and tensor-structured predictors, such that the regression parameters form a tensor o…
Adversary-resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
While the last few decades have witnessed a huge body of work devoted to inference and learning in distributed and decentralized setups, much of this work assumes a non-adversarial…
BRIDGE: Byzantine-resilient Decentralized Gradient Descent
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed across multiple compu…
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
Internet-of-Things (IoT) devices that are limited in power and processing are susceptible to physical layer (PHY) spoofing (signal exploitation) attacks owing to their inability to…
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate +1
This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to…