Search Results for author: Karan Singhal

Found 13 papers, 4 papers with code

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets

no code implementations30 Sep 2022 Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

In this work, we focus on federated training of dual encoding models on decentralized data composed of many small, non-IID (independent and identically distributed) client datasets.

Federated Learning Representation Learning

Mixed Federated Learning: Joint Decentralized and Centralized Learning

no code implementations26 May 2022 Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews

For example, additional datacenter data can be leveraged to jointly learn from centralized (datacenter) and decentralized (federated) training data and better match an expected inference data distribution.

Federated Learning

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

no code implementations28 Oct 2021 Upasak Das, Karan Singhal

Mathematical ability is among the most important determinants of prospering in the labour market.

What Do We Mean by Generalization in Federated Learning?

1 code implementation ICLR 2022 Honglin Yuan, Warren Morningstar, Lin Ning, Karan Singhal

Thus generalization studies in federated learning should separate performance gaps from unseen client data (out-of-sample gap) from performance gaps from unseen client distributions (participation gap).

Federated Learning

Federated Reconstruction: Partially Local Federated Learning

3 code implementations NeurIPS 2021 Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash

We also describe the successful deployment of this approach at scale for federated collaborative filtering in a mobile keyboard application.

Collaborative Filtering Federated Learning +1

Presence of Women in Economics Academia: Evidence from India

no code implementations31 Oct 2020 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 conference held annually.

Learning Multilingual Word Embeddings Using Image-Text Data

no code implementations WS 2019 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.

Multilingual Word Embeddings Semantic Similarity +1

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