most citedBOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces

Aditya Desai, Benjamin Meisburger, Zichang Liu +1

Recommendation systems (RS) for items (e.g., movies, books) and ads are widely used to tailor content to users on various internet platforms. Traditionally, recommendation models a…

cs.LG2023★ 1 cited

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware

Nicholas Meisburger, Vihan Lakshman, Benito Geordie +9

Efficient large-scale neural network training and inference on commodity CPU hardware is of immense practical significance in democratizing deep learning (DL) capabilities. Present…