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
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 48 1 0 16 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 32 0 0 11 Aug 2024
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data Ahmed Anwar Brian B. Moser Dayananda Herurkar Federico Raue Vinit Hegiste T. Legler Andreas Dengel FedML 40 0 0 08 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 40 3 0 30 Jul 2024
A collaborative ensemble construction method for federated random forest Penjan Antonio Eng Lim Cheong Hee Park FedML 30 5 0 27 Jul 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 51 1 0 26 Jul 2024
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory Xiaojin Zhang Wei Chen FedML 39 0 0 23 Jul 2024
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning Huandong Wang Changzheng Gao Yuchen Wu Depeng Jin Lina Yao Yong Li 22 21 0 23 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 52 0 0 23 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright FedML 34 2 0 12 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 36 1 0 12 Jul 2024
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models Aydin Abadi Vishnu Asutosh Dasu Sumanta Sarkar 46 3 0 11 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 45 2 0 09 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nian-Feng Tzeng FedML 35 3 0 09 Jul 2024
Support Vector Based Anomaly Detection in Federated Learning Massimo Frasson Dario Malchiodi 37 0 0 04 Jul 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 32 0 0 03 Jul 2024
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Zhibo Wang Zhiwei Chang Jiahui Hu Xiaoyi Pang Jiacheng Du Yongle Chen Kui Ren FedML 29 1 0 22 Jun 2024
Training Diffusion Models with Federated Learning Matthijs de Goede Bart Cox Jérémie Decouchant FedML 49 8 0 18 Jun 2024
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 41 3 0 10 Jun 2024
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 40 1 0 10 Jun 2024
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation Honglei Zhang Haoxuan Li Jundong Chen Sen Cui Kunda Yan Abudukelimu Wuerkaixi Xin Zhou Zhiqi Shen Yidong Li FedML 27 4 0 06 Jun 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 45 0 0 04 Jun 2024
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients Yuncong Zuo Bart Cox Lydia Y. Chen Jérémie Decouchant 29 0 0 03 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning Kai Yi Timur Kharisov Igor Sokolov Peter Richtárik FedML 34 2 0 03 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning B. Nguyen Lorenzo Sani Xinchi Qiu Pietro Lió Nicholas D. Lane 40 0 0 31 May 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 20 1 0 31 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 56 1 0 23 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning Yanli Li Jehad Ibrahim Huaming Chen Dong Yuan Kim-Kwang Raymond Choo 32 0 0 03 May 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-an Su Jiaxiang Geng Liang Li Xiaoqi Qin Yanzhao Hou Xin Fu Miao Pan Miao Pan 40 1 0 01 May 2024
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 48 2 0 16 Apr 2024
Personalized Collaborative Fine-Tuning for On-Device Large Language Models Nicolas Wagner Dongyang Fan Martin Jaggi 39 3 0 15 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 37 1 0 15 Apr 2024
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications Shanshan Wu Zheng Xu Yanxiang Zhang Yuanbo Zhang Daniel Ramage SyDa 23 9 0 05 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 36 1 0 05 Apr 2024
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development Xihao Xie Jia Zhang Rahul Ramachandran Tsengdar Lee Seungwon Lee 21 0 0 30 Mar 2024
SignSGD with Federated Voting Chanho Park H. Vincent Poor Namyoon Lee FedML 40 1 0 25 Mar 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 34 1 0 24 Mar 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning Hong Huang Weiming Zhuang Chen Chen Lingjuan Lyu 62 6 0 21 Mar 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System Jianjun Huang Lixin Ye Li Kang FedML 22 3 0 19 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 48 9 0 18 Mar 2024
Securing Federated Learning with Control-Flow Attestation: A Novel Framework for Enhanced Integrity and Resilience against Adversarial Attacks Zahir Alsulaimawi 78 2 0 15 Mar 2024
Efficient Language Model Architectures for Differentially Private Federated Learning Jae Hun Ro Srinadh Bhojanapalli Zheng Xu Yanxiang Zhang A. Suresh FedML 47 2 0 12 Mar 2024
Federated Learning Method for Preserving Privacy in Face Recognition System Enoch Solomon Abraham Woubie FedML 38 3 0 08 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 32 0 0 07 Mar 2024
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation Zahir Alsulaimawi AAML FedML 33 2 0 05 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks Ehsan Nowroozi Imran Haider R. Taheri Mauro Conti AAML 32 5 0 05 Mar 2024
Enhancing Data Provenance and Model Transparency in Federated Learning Systems -- A Database Approach Michael Gu Ramasoumya Naraparaju Dongfang Zhao FedML 20 0 0 03 Mar 2024
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI Domenique Zipperling Simeon Allmendinger Lukas Struppek Niklas Kühl 36 0 0 29 Feb 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 21 0 0 29 Feb 2024