534 citations · 2.2k across the 60 of their papers we have counts for
36 papers · 1 filter
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
Ankit Pratap Singh, Namrata Vaswani
This work considers two related learning problems in a federated attack prone setting: federated principal components analysis (PCA) and federated low rank column-wise sensing (LRC…
Efficient Federated Low Rank Matrix Recovery via Alternating GD and Minimization: A Simple Proof
Namrata Vaswani
This note provides a significantly simpler and shorter proof of our sample complexity guarantee for solving the low rank column-wise sensing problem using the Alternating Gradient…
Decentralized Communication-Efficient Multi-Task Representation Learning
Shana Moothedath, Namrata Vaswani
This work develops a provably accurate fully-decentralized alternating projected gradient descent (GD) algorithm for recovering a low rank (LR) matrix from mutually independent pro…
Fast and Sample-Efficient Federated Low Rank Matrix Recovery from column-wise Linear and Quadratic Projections
Seyedehsara, Nayer, Namrata Vaswani
We study the following lesser-known low rank (LR) recovery problem: recover an rank- matrix, , with , from in…
Sample-Efficient Low Rank Phase Retrieval
Seyedehsara Nayer, Namrata Vaswani
This work studies the Low Rank Phase Retrieval (LRPR) problem: recover an rank- matrix from , , when each is an m…
Efficient and Robust Distributed Matrix Computations via Convolutional Coding
Anindya B. Das, Aditya Ramamoorthy, Namrata Vaswani
Distributed matrix computations -- matrix-matrix or matrix-vector multiplications -- are well-recognized to suffer from the problem of stragglers (slow or failed worker nodes). Muc…