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
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Bo-wen Li FedML 27 24 0 18 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 40 44 0 18 Jun 2022
Federated learning with incremental clustering for heterogeneous data F. E. Castellon Aurélien Mayoue Jacques-Henri Sublemontier Cédric Gouy-Pailler FedML 24 8 0 17 Jun 2022
Strategic Coalition for Data Pricing in IoT Data Markets Shashi Raj Pandey Pierre Pinson P. Popovski 29 5 0 15 Jun 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 40 130 0 12 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 37 13 0 11 Jun 2022
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency Jinyin Chen Mingjun Li Tao Liu Haibin Zheng Yao Cheng Changting Lin AAML 27 10 0 11 Jun 2022
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning Alberto Blanco-Justicia David Sánchez J. Domingo-Ferrer K. Muralidhar 11 59 0 09 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 37 64 0 08 Jun 2022
A Benchmark for Federated Hetero-Task Learning Liuyi Yao Dawei Gao Zhen Wang Yuexiang Xie Weirui Kuang Daoyuan Chen Haohui Wang Chenhe Dong Bolin Ding Yaliang Li FedML 21 9 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 15 12 0 07 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 35 131 0 06 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 0 06 Jun 2022
Pretrained Models for Multilingual Federated Learning Orion Weller Marc Marone Vladimir Braverman Dawn J Lawrie Benjamin Van Durme VLM FedML AI4CE 46 42 0 06 Jun 2022
Impact of Sampling on Locally Differentially Private Data Collection Sayan Biswas Graham Cormode Carsten Maple FedML 33 0 0 02 Jun 2022
Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings B. Stojković Jonathan Woodbridge Zhihan Fang Jerry Cai Andrey Petrov ... Daoyu Huang Patrick Yau Arvind Sastha Kumar Hitesh Jawa Anamita Guha FedML 11 10 0 02 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 41 31 0 30 May 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
Mixed Federated Learning: Joint Decentralized and Centralized Learning S. Augenstein Andrew Straiton Hard Lin Ning K. Singhal Satyen Kale Kurt Partridge Rajiv Mathews FedML 38 8 0 26 May 2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations Manaar Alam Esha Sarkar Michail Maniatakos AAML FedML 27 8 0 26 May 2022
Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition Xihao Xie Jia Zhang R. Ramachandran Tsengdar J. Lee Seungwon Lee AI4TS 17 1 0 24 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 42 17 0 23 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 27 1 0 23 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 33 2 0 22 May 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 25 40 0 20 May 2022
Service Delay Minimization for Federated Learning over Mobile Devices Rui Chen Dian Shi Xiaoqi Qin Dongjie Liu Miao Pan Shuguang Cui FedML 43 32 0 19 May 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 40 75 0 17 May 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning Dario Pasquini Mathilde Raynal Carmela Troncoso OOD FedML 43 19 0 17 May 2022
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints Mónica Ribero H. Vikalo G. Veciana FedML 24 43 0 13 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 30 11 0 13 May 2022
Blockchain-based Secure Client Selection in Federated Learning Truc D. T. Nguyen Phuc Thai Tre' R. Jeter Thang N. Dinh My T. Thai 33 12 0 11 May 2022
Federated Learning with Noisy User Feedback Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 21 10 0 06 May 2022
Training Mixed-Domain Translation Models via Federated Learning Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 29 18 0 03 May 2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth Maziar Sanjabi Lin Xiao Peter Richtárik Michael G. Rabbat FedML 33 21 0 27 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 21 77 0 12 Apr 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Andrew Straiton Hard Kurt Partridge Neng Chen S. Augenstein Aishanee Shah ... Sara Ng Jessica Nguyen Ignacio López Moreno Rajiv Mathews F. Beaufays FedML 24 14 0 11 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 27 88 0 11 Apr 2022
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg Yuhao Zhou M. Shi Yuxin Tian Qing Ye Jiancheng Lv FedML 19 2 0 06 Apr 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 26 24 0 31 Mar 2022
Federated Domain Adaptation for ASR with Full Self-Supervision Junteng Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 32 13 0 30 Mar 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 38 114 0 29 Mar 2022
Federated Named Entity Recognition Joel Mathew Dimitris Stripelis J. Ambite FedML 22 1 0 28 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework Jikun Chen Feng Qiang Na Ruan FedML 19 1 0 27 Mar 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study Alex Zhang Naomi Fengqi Li OOD FedML 32 4 0 24 Mar 2022
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 37 3 0 23 Mar 2022
Federated Self-Supervised Learning for Acoustic Event Classification Meng Feng Chieh-Chi Kao Qingming Tang Ming Sun Viktor Rozgic Spyros Matsoukas Chao Wang 41 11 0 22 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 33 45 0 21 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 34 119 0 18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 28 254 0 17 Mar 2022