Federated Learning for Mobile Keyboard Prediction

8 November 2018

Andrew Straiton Hard

Kanishka Rao

Zhifeng Lin

Swaroop Indra Ramaswamy

Papers citing "Federated Learning for Mobile Keyboard Prediction"

50 / 648 papers shown

Title
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 15 12 0 22 Aug 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients Jiaxin Ma Ryo Yonetani Z. Iqbal FedML 24 12 0 18 Aug 2020
Addressing Class Imbalance in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 8 18 0 14 Aug 2020
Distantly Supervised Relation Extraction in Federated Settings Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 15 10 0 12 Aug 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen H. Li FedML 28 125 0 07 Aug 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 17 783 0 28 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 17 16 0 27 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora Salim T. Ozcelebi J. Lukkien FedML SSL 101 98 0 25 Jul 2020
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
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 32 21 0 21 Jul 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 20 193 0 17 Jul 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 18 16 0 17 Jul 2020
Prioritized Multi-Criteria Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 11 9 0 17 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 25 639 0 16 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 22 361 0 15 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 23 590 0 09 Jul 2020
Federated Learning of User Authentication Models H. Hosseini Sungrack Yun Hyunsin Park Christos Louizos Joseph B. Soriaga Max Welling FedML 10 12 0 09 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning Yawen Wu Zhepeng Wang Yiyu Shi J. Hu 16 44 0 07 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 24 54 0 02 Jul 2020
Subpopulation Data Poisoning Attacks Matthew Jagielski Giorgio Severi Niklas Pousette Harger Alina Oprea AAML SILM 24 112 0 24 Jun 2020
Security and Privacy Preserving Deep Learning Saichethan Miriyala Reddy Saisree Miriyala FedML PILM 17 2 0 23 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 39 966 0 16 Jun 2020
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 14 45 0 12 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 13 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 Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 24 836 0 07 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 34 78 0 29 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 22 2 0 24 May 2020
Training Keyword Spotting Models on Non-IID Data with Federated Learning Andrew Straiton Hard Kurt Partridge Cameron Nguyen Niranjan A. Subrahmanya Aishanee Shah Pai Zhu Ignacio López Moreno Rajiv Mathews OOD FedML 6 63 0 21 May 2020
Context-Based Quotation Recommendation Ansel MacLaughlin Tao Chen Burcu Karagol Ayan Dan Roth 16 5 0 17 May 2020
Pretraining Federated Text Models for Next Word Prediction Joel Stremmel Arjun Singh FedML 15 52 0 11 May 2020
Efficient Privacy Preserving Edge Computing Framework for Image Classification Omobayode Fagbohungbe Sheikh Rufsan Reza Xishuang Dong Lijun Qian 14 3 0 10 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 26 40 0 07 May 2020
Differentially Private Federated Learning with Laplacian Smoothing Zhicong Liang Bao Wang Quanquan Gu Stanley Osher Yuan Yao FedML 12 7 0 01 May 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 25 14 0 24 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 60 50 0 01 Apr 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 37 29 0 26 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020
Policy-Based Federated Learning Kleomenis Katevas Eugene Bagdasaryan J. Waterman Mohamad Mounir Safadieh Eleanor Birrell Hamed Haddadi D. Estrin 14 0 0 14 Mar 2020
Marketplace for AI Models Abhishek Kumar Benjamin Finley Tristan Braud Sasu Tarkoma Pan Hui DiffM 8 14 0 03 Mar 2020
Federating Recommendations Using Differentially Private Prototypes Mónica Ribero Jette Henderson Sinead Williamson H. Vikalo FedML 14 39 0 01 Mar 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 14 63 0 26 Feb 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 40 22 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 45 565 0 25 Feb 2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Shiqiang Wang Jian Li M. Amini 4 59 0 25 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang X. Chu FedML 11 180 0 22 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