Applied Federated Learning: Improving Google Keyboard Query Suggestions

7 December 2018

Papers citing "Applied Federated Learning: Improving Google Keyboard Query Suggestions"

21 / 121 papers shown

Title
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 33 361 0 15 Jul 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 18 54 0 14 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 21 54 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 24 22 0 12 Jun 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 566 0 25 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 49 37 0 18 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 34 289 0 11 Feb 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 38 69 0 29 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 42 632 0 31 Dec 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 14 30 0 06 Nov 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 25 13 0 23 Oct 2019
Distributed Learning of Deep Neural Networks using Independent Subnet Training John Shelton Hyatt Cameron R. Wolfe Michael Lee Yuxin Tang Anastasios Kyrillidis Christopher M. Jermaine OOD 29 35 0 04 Oct 2019
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 31 58 0 14 Sep 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 160 0 14 Jun 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 21 309 0 11 Jun 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 30 163 0 26 Mar 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 37 270 0 29 Jan 2019
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 359 37 0 15 May 2018