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Rajiv Mathews — most-cited papers & profile · Federated Learning
← authors
·
overview
Rajiv Mathews
26
papers ·
466
citations ·
13
h-index
Google (United States)
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Most-cited papers
Federated Learning for Emoji Prediction in a Mobile Keyboard
2019 · 164 citations
Federated Evaluation of On-device Personalization
2019 · 118 citations
Federated Learning of N-gram Language Models
2019 · 55 citations
Generative Models for Effective ML on Private, Decentralized Datasets
2019 · 43 citations
Understanding Unintended Memorization in Federated Learning
2020 · 20 citations
Training Production Language Models without Memorizing User Data
2020 · 16 citations
Revealing and Protecting Labels in Distributed Training
2021 · 9 citations
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model
2022 · 7 citations
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift
2021 · 5 citations
Mixed Federated Learning: Joint Decentralized and Centralized Learning
2022 · 5 citations
Online Model Compression for Federated Learning with Large Models
2022 · 4 citations
Communication-Efficient Agnostic Federated Averaging
2021 · 3 citations
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
2021 · 1 citations
Scaling Language Model Size in Cross-Device Federated Learning
2022 · 1 citations
Learning from straggler clients in federated learning
2024 · 1 citations
Top co-authors
Mingqing Chen
· 6
Andrew Hard
· 5
Rohan Anil
· 2
Blaise Aguera y Arcas
· 1
Cyril Allauzen
· 1
Hao Zhang
· 1
Kanishka Rao
· 1
Karan Singhal
· 1
Lin Ning
· 1
Michael Riley
· 1
Nanxin Chen
· 1
Peter Kairouz
· 1
Topics
Federated Learning
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Data Heterogeneity
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