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
Training a Tokenizer for Free with Private Federated Learning Eugene Bagdasaryan Congzheng Song Rogier van Dalen M. Seigel Áine Cahill FedML 22 5 0 15 Mar 2022
Communication-Efficient Federated Distillation with Active Data Sampling Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 24 25 0 14 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data Lianlian Jiang Yuexuan Wang Wenyi Zheng Chao Jin Zengxiang Li Sin Gee Teo AI4TS 33 10 0 08 Mar 2022
Improving Response Time of Home IoT Services in Federated Learning D. Hwang Hyunsu Mun Youngseok Lee 16 7 0 28 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 31 9 0 20 Feb 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams S. Denisov H. B. McMahan J. Rush Adam D. Smith Abhradeep Thakurta FedML 33 60 0 16 Feb 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices Ruixuan Liu Fangzhao Wu Chuhan Wu Yanlin Wang Lingjuan Lyu Hong Chen Xing Xie FedML 19 70 0 16 Feb 2022
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing Nicolò Dal Fabbro S. Dey M. Rossi Luca Schenato FedML 31 14 0 11 Feb 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction Chuhan Wu Fangzhao Wu Tao Qi Yanlin Wang Yuqing Yang Yongfeng Huang Xing Xie FedML 21 1 0 10 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 22 11 0 08 Feb 2022
Fabricated Flips: Poisoning Federated Learning without Data Jiyue Huang Zilong Zhao L. Chen Stefanie Roos 30 3 0 07 Feb 2022
Preserving Privacy and Security in Federated Learning Truc D. T. Nguyen My T. Thai FedML 24 49 0 07 Feb 2022
Private Read Update Write (PRUW) with Storage Constrained Databases Sajani Vithana S. Ulukus 29 13 0 07 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 39 25 0 07 Feb 2022
FL_PyTorch: optimization research simulator for federated learning Konstantin Burlachenko Samuel Horváth Peter Richtárik FedML 50 18 0 07 Feb 2022
Comparative assessment of federated and centralized machine learning Ibrahim Abdul Majeed Sagar Kaushik Aniruddha Bardhan Venkata Siva Kumar Tadi Hwang-Ki Min K. Kumaraguru Rajasekhara Reddy Duvvuru Muni FedML 31 6 0 03 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 51 9 0 31 Jan 2022
Faster Convergence of Local SGD for Over-Parameterized Models Tiancheng Qin S. Rasoul Etesami César A. Uribe FedML 38 6 0 30 Jan 2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models Liam H. Fowl Jonas Geiping Steven Reich Yuxin Wen Wojtek Czaja Micah Goldblum Tom Goldstein FedML 73 56 0 29 Jan 2022
Towards Energy Efficient Distributed Federated Learning for 6G Networks Sunder Ali Khowaja K. Dev Parus Khowaja P. Bellavista FedML 16 39 0 19 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 35 37 0 18 Jan 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 53 15 0 14 Jan 2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack Yongkang Wang Dihua Zhai Yufeng Zhan Yuanqing Xia FedML AAML 30 14 0 11 Jan 2022
Multi-Model Federated Learning Neelkamal Bhuyan Sharayu Moharir FedML 19 19 0 07 Jan 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers Jiahao Lu Xi Sheryl Zhang Tianli Zhao Xiangyu He Jian Cheng ViT PILM 25 22 0 28 Dec 2021
Faster Rates for Compressed Federated Learning with Client-Variance Reduction Haoyu Zhao Konstantin Burlachenko Zhize Li Peter Richtárik FedML 35 13 0 24 Dec 2021
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 33 25 0 22 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 17 85 0 12 Dec 2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 29 87 0 11 Dec 2021
Federated Two-stage Learning with Sign-based Voting Zichen Ma Zihan Lu Yu Lu Wenye Li Jinfeng Yi Shuguang Cui FedML 35 2 0 10 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 46 11 0 10 Dec 2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 46 1 0 05 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 24 4 0 29 Nov 2021
Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift S. Augenstein Andrew Straiton Hard Kurt Partridge Rajiv Mathews OOD FedML 14 11 0 23 Nov 2021
Satellite Based Computing Networks with Federated Learning Hao Chen Ming Xiao Zhibo Pang 14 82 0 20 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 22 32 0 16 Nov 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency Dario Pasquini Danilo Francati G. Ateniese FedML 28 101 0 14 Nov 2021
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System Timon Rückel Johannes Sedlmeir Peter Hofmann FedML 27 58 0 11 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 113 137 0 08 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 27 9 0 05 Nov 2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection Mohanad Sarhan S. Layeghy Nour Moustafa Marius Portmann FedML 25 72 0 04 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 37 1 0 04 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training Sangjoon Park Gwanghyun Kim Jeongsol Kim Boah Kim Jong Chul Ye ViT FedML MedIm 36 30 0 02 Nov 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities Carole-Jean Wu Ramya Raghavendra Udit Gupta Bilge Acun Newsha Ardalani ... Maximilian Balandat Joe Spisak R. Jain Michael G. Rabbat K. Hazelwood 52 387 0 30 Oct 2021
DistFL: Distribution-aware Federated Learning for Mobile Scenarios Bingyan Liu Y. Cai Ziqi Zhang Yan Liang Leye Wang Ding Li Yao Guo Xiangqun Chen OOD FedML 22 7 0 22 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments Joost Verbraeken M. Vos J. Pouwelse 31 4 0 21 Oct 2021