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
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 29 6 0 11 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Cheng Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
Towards Sybil Resilience in Decentralized Learning Thomas Werthenbach J. Pouwelse AAML 15 2 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Privacy-Enhancing Technologies for Financial Data Sharing Panagiotis Chatzigiannis Wanyun Catherine Gu Srinivasan Raghuraman Peter Rindal M. Zamani 19 2 0 16 Jun 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A. Choquette-Choo Arun Ganesh Ryan McKenna H. B. McMahan Keith Rush Abhradeep Thakurta Zheng Xu FedML 28 35 0 13 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 19 9 0 09 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 29 12 0 08 Jun 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 31 12 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher Brinton FedML 40 85 0 02 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei-Yue Wang Jianjun Wu Zhifeng Zhao 22 2 0 01 Jun 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 30 1 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 35 61 0 30 May 2023
Federated Learning of Gboard Language Models with Differential Privacy Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 42 77 0 29 May 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients M. Zhang Fuxun Yu Yongbo Yu Minjia Zhang Ang Li Xiang Chen FedML 11 2 0 25 May 2023
Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function Linxuan Pan Shenghui Song FedML 25 2 0 24 May 2023
Privacy in Multimodal Federated Human Activity Recognition Alexandru Iacob Pedro Gusmão Nicholas D. Lane Armand K. Koupai M. J. Bocus Raúl Santos-Rodríguez Robert Piechocki Ryan McConville 13 1 0 20 May 2023
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Bo-wen Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 29 37 0 20 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Free Lunch for Privacy Preserving Distributed Graph Learning Nimesh Agrawal Nikita Malik Sandeep Kumar 24 0 0 18 May 2023
Faster Federated Learning with Decaying Number of Local SGD Steps Jed Mills Jia Hu Geyong Min FedML 30 7 0 16 May 2023
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback Shang-ling Hsu Raj Sanjay Shah Prathik Senthil Zahra Ashktorab Casey Dugan Werner Geyer Diyi Yang 49 20 0 15 May 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 35 111 0 09 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 26 10 0 09 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 18 8 0 06 May 2023
Now It Sounds Like You: Learning Personalized Vocabulary On Device Sida Wang Ashish Shenoy P. Chuang John Nguyen VLM 38 2 0 05 May 2023
Scalable Data Point Valuation in Decentralized Learning Konstantin D. Pandl Chun-Yin Huang Ivan Beschastnikh Xiaoxiao Li Scott Thiebes Ali Sunyaev FedML TDI 26 0 0 01 May 2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Rong Pan Jianzong Wang Lingwei Kong Zhangcheng Huang Jing Xiao FedML 38 2 0 23 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 26 14 0 20 Apr 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning Di Wu R. Ullah Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 32 1 0 11 Apr 2023
iDML: Incentivized Decentralized Machine Learning Haoxiang Yu Hsiao-Yuan Chen Sangsu Lee S. Vishwanath J. Zheng Christine Julien FedML 16 6 0 10 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 27 5 0 10 Apr 2023
A Communication-efficient Local Differentially Private Algorithm in Federated Optimization Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 13 2 0 04 Apr 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun Ziyue Xu Dong Yang V. Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen H. Roth FedML 32 14 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 28 1 0 27 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 42 0 0 26 Mar 2023
Delay-Aware Hierarchical Federated Learning F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 23 11 0 22 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 30 33 0 19 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms Alekh Agarwal H. B. McMahan Zheng Xu FedML 34 2 0 17 Mar 2023
Communication-Efficient Design for Quantized Decentralized Federated Learning L. Chen Wei Liu Yunfei Chen Weidong Wang FedML MQ 57 14 0 15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 13 0 0 15 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie M. Zhang Chen Chen Weiming Zhuang Lingjuan Lv CLL FedML 33 45 0 13 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 23 10 0 07 Mar 2023
SoK: Content Moderation for End-to-End Encryption Sarah Scheffler Jonathan R. Mayer 40 22 0 07 Mar 2023
Client-specific Property Inference against Secure Aggregation in Federated Learning Raouf Kerkouche G. Ács Mario Fritz FedML 63 9 0 07 Mar 2023
Federated Semi-Supervised Learning with Annotation Heterogeneity Xinyi Shang Gang Huang Yang Lu Jian Lou Bo Han Y. Cheung Hanzi Wang FedML 46 1 0 04 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang X. Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 20 10 0 03 Mar 2023
Towards Interpretable Federated Learning Anran Li Rui Liu Ming Hu Anh Tuan Luu Han Yu AI4CE FedML 27 15 0 27 Feb 2023