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
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing Xumin Huang Peichun Li Rong Yu Yuan Wu Kan Xie Shengli Xie FedML 42 82 0 19 Oct 2021
Semi-asynchronous Hierarchical Federated Learning for Cooperative Intelligent Transportation Systems Qimei Chen Zehua You Hao Jiang 16 13 0 18 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 68 75 0 15 Oct 2021
FedMe: Federated Learning via Model Exchange Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka FedML 45 19 0 15 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning Ziyue Jiang Yi Ren Ming Lei Zhou Zhao FedML 101 24 0 14 Oct 2021
Federated Natural Language Generation for Personalized Dialogue System Yujie Lu Chao-Wei Huang Huanli Zhan Yong Zhuang FedML 85 9 0 13 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal Peter Kairouz Ziyu Liu FedML 22 122 0 11 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout Dhruv Guliani Lillian Zhou Changwan Ryu Tien-Ju Yang Harry Zhang Yong Xiao F. Beaufays Giovanni Motta FedML 33 16 0 07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 36 18 0 06 Oct 2021
Secure Byzantine-Robust Distributed Learning via Clustering R. K. Velicheti Derek Xia Oluwasanmi Koyejo FedML OOD 70 19 0 06 Oct 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 53 45 0 05 Oct 2021
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device Zhouyuan Huo Dong-Gyo Hwang K. Sim Shefali Garg Ananya Misra Nikhil Siddhartha Trevor Strohman Franccoise Beaufays 62 7 0 01 Oct 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 32 17 0 30 Sep 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 55 17 0 26 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning Zewei Long Jiaqi Wang Yaqing Wang Houping Xiao Fenglong Ma FedML 48 22 0 09 Sep 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 27 373 0 30 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 18 23 0 24 Aug 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 28 5 0 17 Aug 2021
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning Shuang Dai Fanlin Meng Qian Wang Xizhong Chen 28 18 0 08 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 37 37 0 05 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 40 0 0 05 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 38 48 0 04 Aug 2021
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning Siddharth Divi Yi-Shan Lin Habiba Farrukh Z. Berkay Celik FedML 25 17 0 28 Jul 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 30 67 0 27 Jul 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 19 14 0 22 Jul 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 36 36 0 21 Jul 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning Young Geun Kim Carole-Jean Wu 26 85 0 16 Jul 2021
TEM: High Utility Metric Differential Privacy on Text Ricardo Silva Carvalho Theodore Vasiloudis Oluwaseyi Feyisetan 42 37 0 16 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 42 15 0 14 Jul 2021
Improving the Algorithm of Deep Learning with Differential Privacy Mehdi Amian 15 1 0 12 Jul 2021
Sparse Personalized Federated Learning Xiaofeng Liu Yinchuan Li Qing Wang Xu Zhang Yunfeng Shao Yanhui Geng FedML 41 6 0 12 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 35 10 0 03 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 31 44 0 30 Jun 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 40 36 0 29 Jun 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 40 4 0 27 Jun 2021
A Comprehensive Survey of Incentive Mechanism for Federated Learning Rongfei Zeng Chaobing Zeng Xingwei Wang Bo-wen Li Xiaowen Chu FedML 36 95 0 27 Jun 2021
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy Xinwei Zhang Xiangyi Chen Min-Fong Hong Zhiwei Steven Wu Jinfeng Yi FedML 32 91 0 25 Jun 2021
Secure Distributed Training at Scale Eduard A. Gorbunov Alexander Borzunov Michael Diskin Max Ryabinin FedML 26 15 0 21 Jun 2021
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning Junyuan Hong Haotao Wang Zhangyang Wang Jiayu Zhou FedML 34 16 0 18 Jun 2021
Decentralized Personalized Federated Learning for Min-Max Problems Ekaterina Borodich Aleksandr Beznosikov Abdurakhmon Sadiev V. Sushko Nikolay Savelyev Martin Takávc Alexander Gasnikov FedML 24 4 0 14 Jun 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 38 290 0 11 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 33 47 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 20 63 0 10 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 176 0 10 Jun 2021
Local Adaptivity in Federated Learning: Convergence and Consistency Jianyu Wang Zheng Xu Zachary Garrett Zachary B. Charles Luyang Liu Gauri Joshi FedML 37 39 0 04 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 27 73 0 02 Jun 2021
Triggerflow: Trigger-based Orchestration of Serverless Workflows Aitor Arjona Pedro García-López Josep Sampé Aleksander Slominski Lionel Villard 11 60 0 01 Jun 2021