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
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 40 24 0 24 Feb 2023
Federated Nearest Neighbor Machine Translation Yichao Du Zhirui Zhang Bingzhe Wu Lemao Liu Tong Xu Enhong Chen FedML 31 6 0 23 Feb 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis Nan Yang Dong Yuan Charles Z. Liu Yong Deng Wei Bao FedML 66 5 0 23 Feb 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 32 3 0 17 Feb 2023
Towards Zero-trust Security for the Metaverse Ruizhi Cheng Songqing Chen Bo Han 23 28 0 17 Feb 2023
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning Morteza Varasteh AAML FedML 11 1 0 10 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
Federated Learning with Regularized Client Participation Grigory Malinovsky Samuel Horváth Konstantin Burlachenko Peter Richtárik FedML 31 13 0 07 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 44 27 0 06 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 55 46 0 06 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 25 0 03 Feb 2023
Federated Learning for Water Consumption Forecasting in Smart Cities Mohammed El Hanjri Hibatallah Kabbaj A. Kobbane Amine Abouaomar 22 11 0 30 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference Alind Khare A. Agrawal Aditya Annavajjala Payman Behnam Myungjin Lee Hugo Latapie Alexey Tumanov FedML 13 2 0 26 Jan 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 30 18 0 22 Jan 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 36 15 0 22 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 22 30 0 19 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application Liangqi Yuan Lu Su Ziran Wang 36 19 0 12 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for 6G Xuemin Shen Shen Jie Gao Wen Wu Mushu Li Conghao Zhou W. Zhuang 35 234 0 02 Jan 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 21 19 0 01 Jan 2023
An Optimal Algorithm for Strongly Convex Min-min Optimization Alexander Gasnikov D. Kovalev Grigory Malinovsky 32 1 0 29 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 27 1 0 23 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 27 5 0 12 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 41 6 0 07 Dec 2022
Encrypted machine learning of molecular quantum properties J. Weinreich Guido Falk von Rudorff O. Anatole von Lilienfeld 41 2 0 05 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 42 7 0 03 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 36 20 0 02 Dec 2022
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning Pengyu Qiu Xuhong Zhang S. Ji Chong Fu Xing Yang Ting Wang FedML AAML 30 12 0 01 Dec 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 22 5 0 30 Nov 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise Jie Fu Zhili Chen Xiao Han FedML 22 28 0 29 Nov 2022
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 34 4 0 25 Nov 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective Huan Zhang Lei Fu Mi Zhang Pengfei Hu Xiuzhen Cheng P. Mohapatra Xin Liu FedML 21 7 0 24 Nov 2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 32 24 0 24 Nov 2022
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training Quan Nguyen Hieu H. Pham Kok-Seng Wong Phi Le Nguyen Truong Thao Nguyen Minh N. Do FedML 19 7 0 20 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges Madhura Joshi Ankit Pal Malaikannan Sankarasubbu OOD AI4CE FedML 25 93 0 15 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 14 21 0 14 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 32 2 0 08 Nov 2022
Federated Multilingual Models for Medical Transcript Analysis Andre Manoel Mirian Hipolito Garcia Tal Baumel Shize Su Jialei Chen Dan Miller D. Karmon Robert Sim Dimitrios Dimitriadis 22 13 0 04 Nov 2022
A Convergence Theory for Federated Average: Beyond Smoothness Xiaoxiao Li Zhao Song Runzhou Tao Guangyi Zhang FedML 32 5 0 03 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 37 115 0 03 Nov 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments Vivek Khimani S. Jabbari FedML AI4CE 11 0 0 01 Nov 2022
Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction Mohamed Suliman D. Leith SILM FedML 26 7 0 30 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 40 13 0 26 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 58 32 0 24 Oct 2022
OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks Benoit Steiner Mostafa Elhoushi Jacob Kahn James Hegarty 29 8 0 24 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 51 0 23 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022