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
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 18 0 0 19 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity Muhammad Firdaus Kyung-Hyune Rhee FedML 12 1 0 07 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 45 3 0 02 Feb 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 19 2 0 07 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 30 0 0 06 Jan 2024
Federated Learning for distribution skewed data using sample weights Hung Nguyen Peiyuan Wu Morris Chang OOD FedML 32 5 0 05 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 29 2 0 02 Jan 2024
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Zhiyuan Wu Tianliu He Sheng Sun Yuwei Wang Min Liu Bo Gao Xue Jiang CLL FedML 24 4 0 01 Jan 2024
Horizontal Federated Computer Vision Paul K. Mandal Cole Leo Connor Hurley FedML ObjD 39 0 0 31 Dec 2023
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 11 0 23 Dec 2023
An effective and efficient green federated learning method for one-layer neural networks O. Fontenla-Romero Berta Guijarro-Berdiñas Elena Hernández-Pereira Beatriz Pérez-Sánchez FedML 14 0 0 22 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 47 0 0 17 Dec 2023
Venn: Resource Management for Collaborative Learning Jobs Jiachen Liu Fan Lai Ding Ding Yiwen Zhang Mosharaf Chowdhury FedML 68 1 0 13 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Yue Liu Bingsheng He FedML 22 16 0 11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer Yongheng Deng Ziqing Qiao Ju Ren Yang Liu Yaoxue Zhang 23 11 0 10 Dec 2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning Chung Park Taekyoon Choi Taesan Kim Mincheol Cho Junui Hong Minsung Choi Jaegul Choo FedML 36 4 0 06 Dec 2023
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments Shanqing Cai Subhashini Venugopalan Katie Seaver Xiang Xiao Katrin Tomanek ... Daniel E Vance Blair Casey Steve M. Gleason Philip Q. Nelson Michael P. Brenner 22 7 0 03 Dec 2023
Federated Online and Bandit Convex Optimization Kumar Kshitij Patel Lingxiao Wang Aadirupa Saha Nathan Srebro FedML 46 9 0 29 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 29 13 0 28 Nov 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 38 10 0 22 Nov 2023
Contribution Evaluation in Federated Learning: Examining Current Approaches Vasilis Siomos Jonathan Passerat-Palmbach FedML 14 2 0 16 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 26 29 0 13 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 31 0 0 12 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things Hengliang Tang Zihang Zhao Detian Liu Yang Cao Shiqiang Zhang Siqing You 23 1 0 08 Nov 2023
FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments Mert Unsal Ali Maatouk Antonio De Domenico Nicola Piovesan Fadhel Ayed 16 0 0 31 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 46 10 0 24 Oct 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 24 3 0 23 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 36 10 0 20 Oct 2023
Federated Battery Diagnosis and Prognosis Nur Banu Altinpulluk Deniz Altinpulluk P. Ramanan Noah H. Paulson Feng Qiu Susan Babinec Murat Yildirim 22 0 0 14 Oct 2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Xin Liu Wei Tao Dazhi Zhan Yu Pan Xin Ma Yu Ding Zhisong Pan FedML 17 0 0 09 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation Sunpreet S. Arora Andrew Beams Panagiotis Chatzigiannis Sebastian Meiser Karan Patel ... Harshal Shah Yizhen Wang Yuhang Wu Hao Yang Mahdi Zamani FedML 13 3 0 06 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 38 0 0 06 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 30 3 0 06 Oct 2023
Digital Ethics in Federated Learning Liangqi Yuan Ziran Wang Christopher Brinton 25 4 0 04 Oct 2023
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang Jianyu Wang Ang Li FedML 32 2 0 04 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli D. B. Emerson Sana Ayromlou John Jewell Amrit Krishnan Yuchong Zhang A. Verma Fahad Razak FedML 36 1 0 28 Sep 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 35 1 0 28 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 38 44 0 28 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 32 24 0 27 Sep 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning Yavuz Faruk Bakman D. Yaldiz Yahya H. Ezzeldin A. Avestimehr CLL FedML 32 15 0 03 Sep 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 75 0 21 Aug 2023
Controlling Federated Learning for Covertness Adit Jain Vikram Krishnamurthy FedML 24 6 0 17 Aug 2023
Binary Federated Learning with Client-Level Differential Privacy Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 15 2 0 07 Aug 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings Akihiro Mizoguchi A. Bogdanova A. Imakura T. Sakurai FedML 18 1 0 01 Aug 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy Zihao Zhao Yuzhu Mao Zhenpeng Shi Yang Liu Tian-Shing Lan Wenbo Ding Xiaoping Zhang 25 9 0 01 Aug 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 30 15 0 21 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 31 0 0 17 Jul 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023