activity
20192021
most citedA Field Guide to Federated Optimization

167 citations · 171 across the 4 of their papers we have counts for

collaborators

5 papers

econ.GN2021

Solving it correctly Prevalence and Persistence of Gender Gap in Basic Mathematics in rural India

Upasak Das, Karan Singhal

Mathematical ability is among the most important determinants of prospering in the labour market. Using multiple representative datasets with learning outcomes of over 2 million ch…

cs.LG20214 cited

Learning Federated Representations and Recommendations with Limited Negatives

Lin Ning, Karan Singhal, Ellie X. Zhou +1

Deep retrieval models are widely used for learning entity representations and recommendations. Federated learning provides a privacy-preserving way to train these models without re…

cs.LG2021167 cited

A Field Guide to Federated Optimization

Jianyu Wang, Zachary Charles, Zheng Xu +50

Federated learning and analytics are a distributed approach for collaboratively learning models (or statistics) from decentralized data, motivated by and designed for privacy prote…

econ.GN2020

Presence of Women in Economics Academia: Evidence from India

Ambrish Dongre, Karan Singhal, Upasak Das

This paper documents the representation of women in Economics academia in India by analyzing the share of women in faculty positions, and their participation in a prestigious confe…

cs.CL2019

Learning Multilingual Word Embeddings Using Image-Text Data

Karan Singhal, Karthik Raman, Balder ten Cate

There has been significant interest recently in learning multilingual word embeddings -- in which semantically similar words across languages have similar embeddings. State-of-the-…