16 citations · 16 across the 3 of their papers we have counts for
3 papers
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love +1
Matrix computations are a fundamental building-block of edge computing systems, with a major recent uptick in demand due to their use in AI/ML training and inference procedures. Ex…
Detection and Mitigation of Byzantine Attacks in Distributed Training
Konstantinos Konstantinidis, Namrata Vaswani, Aditya Ramamoorthy
A plethora of modern machine learning tasks require the utilization of large-scale distributed clusters as a critical component of the training pipeline. However, abnormal Byzantin…
Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data
Praneeth Narayanamurthy, Namrata Vaswani, Aditya Ramamoorthy
In this work we study the problem of Subspace Tracking with missing data (ST-miss) and outliers (Robust ST-miss). We propose a novel algorithm, and provide a guarantee for both the…