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
Personalized Federated Learning under Model Dissimilarity Constraints Samuel Erickson Mikael Johansson FedML 35 0 0 12 May 2025
Self-Supervised Federated GNSS Spoofing Detection with Opportunistic Data Wenjie Liu Panos Papadimitratos 37 0 0 09 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Le-Trung Nguyen Ael Quélennec Van-Tam Nguyen Enzo Tartaglione 43 0 0 08 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 41 0 0 05 May 2025
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction Yazan Otoum Amiya Nayak 32 0 0 25 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Michel Wang FedML 36 0 0 24 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 59 0 0 23 Apr 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 31 0 0 07 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 39 0 0 02 Apr 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 53 0 0 27 Mar 2025
Trading-off Accuracy and Communication Cost in Federated Learning Mattia Jacopo Villani Emanuele Natale Frederik Mallmann-Trenn FedML 77 0 0 18 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 87 0 0 16 Mar 2025
Incentive Analysis for Agent Participation in Federated Learning Lihui Yi Xiaochun Niu Ermin Wei FedML 42 0 0 13 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 58 0 0 12 Mar 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence Ziruo Hao Zhenhua Cui Tao Yang Bo Hu X. Wu Hui Feng 45 1 0 06 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 78 0 0 05 Mar 2025
Privacy and Accuracy-Aware AI/ML Model Deduplication Hong Guan Lei Yu Lixi Zhou Li Xiong Kanchan Chowdhury Lulu Xie Xusheng Xiao Jia Zou 44 0 0 04 Mar 2025
The Built-In Robustness of Decentralized Federated Averaging to Bad Data Samuele Sabella C. Boldrini Lorenzo Valerio A. Passarella M. Conti FedML 89 0 0 25 Feb 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Xingliang Yuan 42 1 0 20 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 78 0 0 31 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 48 0 0 21 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 100 7 0 17 Jan 2025
ExclaveFL: Providing Transparency to Federated Learning using Exclaves Jinnan Guo Kapil Vaswani Andrew J. Paverd Peter R. Pietzuch FedML 72 0 0 13 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 82 13 0 09 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 75 0 0 02 Dec 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 73 1 0 22 Nov 2024
A Potential Game Perspective in Federated Learning Kang Liu Ziqi Wang Enrique Zuazua FedML 65 0 0 18 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang Cheng Chen Bill Lin 47 1 0 11 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 26 0 0 09 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation Shreya Gummadi M. V. Gasparino Deepak Vasisht Girish Chowdhary FedML 35 1 0 06 Nov 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen 38 0 0 02 Nov 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Jianfei Chen Jingfeng Xue Yunhong Wang Zhenyan Liu Lu Huang FedML 31 0 0 24 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 23 2 0 23 Oct 2024
Neural Search Space in Gboard Decoder Yanxiang Zhang Yuanbo Zhang Haicheng Sun Yun Wang Billy Dou Gary Sivek Shumin Zhai 18 0 0 21 Oct 2024
Tighter Performance Theory of FedExProx Wojciech Anyszka Kaja Gruntkowska A. Tyurin Peter Richtárik FedML 26 0 0 20 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts Mustofa Ahmed Abdul Muntakim Nawrin Tabassum Mohammad Asifur Rahim Faisal Muhammad Shah FedML 31 0 0 17 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 29 0 0 15 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 26 1 0 15 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 53 5 0 11 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 33 0 0 08 Oct 2024
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 29 0 0 02 Oct 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Zhuoning Guo Hao Liu Le Zhang Qi Zhang Hengshu Zhu Hui Xiong AI4TS FedML 22 0 0 29 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 Sep 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 26 0 0 28 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 57 5 0 17 Sep 2024
Exploring User-level Gradient Inversion with a Diffusion Prior Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino Bradley Malin K. Parsons Ye Wang DiffM 41 0 0 11 Sep 2024
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models Rui Ye Rui Ge Yuchi Fengting Jingyi Chai Yanfeng Wang Siheng Chen FedML 40 1 0 11 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis Azal Ahmad Khan Ahmad Faraz Khan Haider Ali A. Anwar FedML 43 1 0 10 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 38 1 0 29 Aug 2024
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs H. B. McMahan Zheng Xu Yanxiang Zhang FedML 37 5 0 16 Aug 2024