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Federated Learning for Mobile Keyboard Prediction

Federated Learning for Mobile Keyboard Prediction

8 November 2018
Andrew Straiton Hard
Kanishka Rao
Zhifeng Lin
Swaroop Indra Ramaswamy
Youjie Li
S. Augenstein
A. Schwing
M. Annavaram
A. Avestimehr
    FedML
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Papers citing "Federated Learning for Mobile Keyboard Prediction"

50 / 648 papers shown
Title
Self-supervised Cross-silo Federated Neural Architecture Search
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
100
18
0
28 Jan 2021
Covert Model Poisoning Against Federated Learning: Algorithm Design and
  Optimization
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Yo-Seb Jeon
H. Vincent Poor
FedML
29
8
0
28 Jan 2021
Failure Prediction in Production Line Based on Federated Learning: An
  Empirical Study
Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
Ning Ge
Guanghao Li
Li Zhang
Yi Liu
FedML
21
45
0
25 Jan 2021
Privacy-Preserving Learning of Human Activity Predictors in Smart
  Environments
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
Sharare Zehtabian
Siavash Khodadadeh
Ladislau Bölöni
D. Turgut
17
28
0
17 Jan 2021
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
Dian Shi
Liang Li
Rui Chen
Pavana Prakash
M. Pan
Yuguang Fang
33
44
0
13 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
83
51
0
11 Jan 2021
Fidel: Reconstructing Private Training Samples from Weight Updates in
  Federated Learning
Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
David Enthoven
Zaid Al-Ars
FedML
55
14
0
01 Jan 2021
Turn Signal Prediction: A Federated Learning Case Study
Turn Signal Prediction: A Federated Learning Case Study
S. Doomra
Naman Kohli
Shounak Athavale
FedML
25
11
0
22 Dec 2020
To Talk or to Work: Flexible Communication Compression for Energy
  Efficient Federated Learning over Heterogeneous Mobile Edge Devices
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
Liang Li
Dian Shi
Ronghui Hou
Hui Li
M. Pan
Zhu Han
FedML
31
147
0
22 Dec 2020
Energy Efficient Federated Learning over Heterogeneous Mobile Devices
  via Joint Design of Weight Quantization and Wireless Transmission
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission
Rui Chen
Liang Li
Kaiping Xue
Chi Zhang
Miao Pan
Yuguang Fang
MQ
17
37
0
21 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
43
37
0
16 Dec 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without
  Sharing Private Information
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information
Qi Chang
Zhennan Yan
L. Baskaran
Hui Qu
Yikai Zhang
Tong Zhang
Shaoting Zhang
Dimitris N. Metaxas
MedIm
21
12
0
15 Dec 2020
CosSGD: Communication-Efficient Federated Learning with a Simple
  Cosine-Based Quantization
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization
Yang He
Hui-Po Wang
M. Zenk
Mario Fritz
FedML
MQ
14
8
0
15 Dec 2020
Federated Learning in Unreliable and Resource-Constrained Cellular
  Wireless Networks
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks
M. Salehi
Ekram Hossain
FedML
51
82
0
09 Dec 2020
Provable Defense against Privacy Leakage in Federated Learning from
  Representation Perspective
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective
Jingwei Sun
Ang Li
Binghui Wang
Huanrui Yang
Hai Li
Yiran Chen
FedML
19
163
0
08 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
Zewei Long
Liwei Che
Yaqing Wang
Muchao Ye
Junyu Luo
Jinze Wu
Houping Xiao
Fenglong Ma
FedML
26
16
0
06 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
28
22
0
01 Dec 2020
Advancements of federated learning towards privacy preservation: from
  federated learning to split learning
Advancements of federated learning towards privacy preservation: from federated learning to split learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
FedML
22
82
0
25 Nov 2020
LINDT: Tackling Negative Federated Learning with Local Adaptation
LINDT: Tackling Negative Federated Learning with Local Adaptation
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
FedML
13
0
0
23 Nov 2020
Distributed Online Learning with Multiple Kernels
Distributed Online Learning with Multiple Kernels
Jeongmin Chae
Songnam Hong
16
28
0
17 Nov 2020
Federated Composite Optimization
Federated Composite Optimization
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
32
58
0
17 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification
  Accuracy in Federated Learning
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning
D. Sarkar
Sumit Rai
Ankur Narang
FedML
18
2
0
14 Nov 2020
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated
  Learning in Non-IID Environments
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
Reza Nasirigerdeh
Mohammad Bakhtiari
Reihaneh Torkzadehmahani
Amirhossein Bayat
M. List
David B. Blumenthal
Jan Baumbach
FedML
24
8
0
13 Nov 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated Learning
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
23
30
0
13 Nov 2020
Fed-Focal Loss for imbalanced data classification in Federated Learning
Fed-Focal Loss for imbalanced data classification in Federated Learning
D. Sarkar
Ankur Narang
Sumit Rai
FedML
15
44
0
12 Nov 2020
FedSL: Federated Split Learning on Distributed Sequential Data in
  Recurrent Neural Networks
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
Ali Abedi
Shehroz S. Khan
FedML
33
53
0
06 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning
  with Fairness Guarantee
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
30
222
0
03 Nov 2020
Training Speech Recognition Models with Federated Learning: A
  Quality/Cost Framework
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
Dhruv Guliani
F. Beaufays
Giovanni Motta
FedML
13
80
0
29 Oct 2020
Strong Privacy and Utility Guarantee: Over-the-Air Statistical
  Estimation
Strong Privacy and Utility Guarantee: Over-the-Air Statistical Estimation
Wenhao Zhan
8
0
0
26 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan
Mengwei Xu
Xiao Ma
Ao Zhou
Xuanzhe Liu
Shangguang Wang
FedML
19
38
0
22 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of
  Data Privacy And Security
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Sheng Shen
Tianqing Zhu
Di Wu
Wei Wang
Wanlei Zhou
FedML
OOD
23
77
0
19 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated
  Learning
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Hamed Haddadi
Soteris Demetriou
FedML
12
31
0
17 Oct 2020
Improving Accuracy of Federated Learning in Non-IID Settings
Improving Accuracy of Federated Learning in Non-IID Settings
Mustafa Safa Ozdayi
Murat Kantarcioglu
Rishabh K. Iyer
FedML
9
7
0
14 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection
Oort: Efficient Federated Learning via Guided Participant Selection
Fan Lai
Xiangfeng Zhu
H. Madhyastha
Mosharaf Chowdhury
FedML
OODD
19
226
0
12 Oct 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks
TextHide: Tackling Data Privacy in Language Understanding Tasks
Yangsibo Huang
Zhao-quan Song
Danqi Chen
Keqin Li
Sanjeev Arora
FedML
8
55
0
12 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
21
121
0
12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and
  Practical Algorithms
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat
Jennifer Gillenwater
Eric P. Xing
Afshin Rostamizadeh
FedML
19
109
0
11 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning
Voting-based Approaches For Differentially Private Federated Learning
Yuqing Zhu
Xiang Yu
Yi-Hsuan Tsai
Francesco Pittaluga
M. Faraki
Manmohan Chandraker
Yu-Xiang Wang
FedML
21
21
0
09 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely
Slavomír Hanzely
Samuel Horváth
Peter Richtárik
FedML
50
186
0
05 Oct 2020
Specialized federated learning using a mixture of experts
Specialized federated learning using a mixture of experts
Edvin Listo Zec
Olof Mogren
John Martinsson
L. R. Sütfeld
D. Gillblad
FedML
28
29
0
05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
40
543
0
03 Oct 2020
Loosely Coupled Federated Learning Over Generative Models
Loosely Coupled Federated Learning Over Generative Models
Shaoming Song
Yunfeng Shao
Jian Li
FedML
20
1
0
28 Sep 2020
Connecting Distributed Pockets of EnergyFlexibility through Federated
  Computations:Limitations and Possibilities
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities
Javad Mohammadi
J. Thornburg
8
5
0
21 Sep 2020
Training Production Language Models without Memorizing User Data
Training Production Language Models without Memorizing User Data
Swaroop Indra Ramaswamy
Om Thakkar
Rajiv Mathews
Galen Andrew
H. B. McMahan
Franccoise Beaufays
FedML
9
92
0
21 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New
  Perspective for Federated Learning
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
Yao Zhou
Jun Wu
Haixun Wang
Jingrui He
AAML
FedML
33
26
0
18 Sep 2020
SAPAG: A Self-Adaptive Privacy Attack From Gradients
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Yijue Wang
Jieren Deng
Danyi Guo
Chenghong Wang
Xianrui Meng
Hang Liu
Caiwen Ding
Sanguthevar Rajasekaran
4
35
0
14 Sep 2020
A Principled Approach to Data Valuation for Federated Learning
A Principled Approach to Data Valuation for Federated Learning
Tianhao Wang
Johannes Rausch
Ce Zhang
R. Jia
D. Song
FedML
TDI
9
189
0
14 Sep 2020
FLaPS: Federated Learning and Privately Scaling
FLaPS: Federated Learning and Privately Scaling
Sudipta Paul
Poushali Sengupta
Subhankar Mishra
FedML
11
4
0
13 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in
  Federated Learning
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
Mohammad Naseri
Jamie Hayes
Emiliano De Cristofaro
FedML
25
144
0
08 Sep 2020
ESMFL: Efficient and Secure Models for Federated Learning
ESMFL: Efficient and Secure Models for Federated Learning
Sheng Lin
Chenghong Wang
Hongjia Li
Jieren Deng
Yanzhi Wang
Caiwen Ding
FedML
11
5
0
03 Sep 2020
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