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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
Alex Schwing
M. Annavaram
A. Avestimehr
    FedML
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Papers citing "Federated Learning for Mobile Keyboard Prediction"

50 / 648 papers shown
Title
Meta-HAR: Federated Representation Learning for Human Activity
  Recognition
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Chenglin Li
Di Niu
Bei Jiang
Xiao Zuo
Jianming Yang
20
84
0
31 May 2021
Federated Estimation of Causal Effects from Observational Data
Federated Estimation of Causal Effects from Observational Data
Thanh Vinh Vo
T. Hoang
Young Lee
Tze-Yun Leong
FedML
CML
28
13
0
31 May 2021
Quantifying and Localizing Usable Information Leakage from Neural
  Network Gradients
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
Fan Mo
Anastasia Borovykh
Mohammad Malekzadeh
Soteris Demetriou
Deniz Gündüz
Hamed Haddadi
FedML
29
3
0
28 May 2021
Concept drift detection and adaptation for federated and continual
  learning
Concept drift detection and adaptation for federated and continual learning
F. Casado
Dylan Lema
Marcos F. Criado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
13
63
0
27 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
27
633
0
20 May 2021
Federated Learning With Highly Imbalanced Audio Data
Federated Learning With Highly Imbalanced Audio Data
Marc C. Green
Mark D. Plumbley
FedML
29
3
0
18 May 2021
TRIM: A Design Space Exploration Model for Deep Neural Networks
  Inference and Training Accelerators
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
Yangjie Qi
Shuo Zhang
T. Taha
18
6
0
18 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
29
46
0
17 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting
  Clustered Model Updates
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Yi Pan
FedML
38
36
0
10 May 2021
Personalized Federated Learning by Structured and Unstructured Pruning
  under Data Heterogeneity
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Saeed Vahidian
Mahdi Morafah
Bill Lin
67
58
0
02 May 2021
Towards On-Device Federated Learning: A Direct Acyclic Graph-based
  Blockchain Approach
Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach
Mingrui Cao
Long Zhang
Bin Cao
FedML
27
7
0
27 Apr 2021
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
83
80
0
26 Apr 2021
FedSup: A Communication-Efficient Federated Learning Fatigue Driving
  Behaviors Supervision Framework
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework
Chen Zhao
Zhipeng Gao
Qian Wang
Kaile Xiao
Zijia Mo
M. Deen
FedML
17
1
0
25 Apr 2021
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
31
44
0
21 Apr 2021
Federated Word2Vec: Leveraging Federated Learning to Encourage
  Collaborative Representation Learning
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning
Daniel Garcia Bernal
Lodovico Giaretta
Sarunas Girdzijauskas
Magnus Sahlgren
FedML
75
4
0
19 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language
  Processing Tasks
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
Bill Yuchen Lin
Chaoyang He
ZiHang Zeng
Hulin Wang
Yufen Huang
Christophe Dupuy
Rahul Gupta
Mahdi Soltanolkotabi
Xiang Ren
Salman Avestimehr
FedML
30
109
0
18 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How
  to Counter It
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
Trung D. Q. Dang
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Peter Chin
Franccoise Beaufays
FedML
38
10
0
15 Apr 2021
FedSAE: A Novel Self-Adaptive Federated Learning Framework in
  Heterogeneous Systems
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
Li Li
Moming Duan
Duo Liu
Yu Zhang
Ao Ren
Xianzhang Chen
Yujuan Tan
Chengliang Wang
FedML
42
43
0
15 Apr 2021
Personalized Semi-Supervised Federated Learning for Human Activity
  Recognition
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
Riccardo Presotto
Gabriele Civitarese
Claudio Bettini
34
65
0
15 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural
  Networks
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
Chaoyang He
Keshav Balasubramanian
Emir Ceyani
Carl Yang
Han Xie
...
Yu Rong
P. Zhao
Junzhou Huang
M. Annavaram
Salman Avestimehr
FedML
OOD
26
2
0
14 Apr 2021
Communication Efficient Federated Learning with Adaptive Quantization
Communication Efficient Federated Learning with Adaptive Quantization
Yuzhu Mao
Zihao Zhao
Guangfeng Yan
Yang Liu
Tian-Shing Lan
Linqi Song
Wenbo Ding
MQ
22
10
0
13 Apr 2021
FedFace: Collaborative Learning of Face Recognition Model
FedFace: Collaborative Learning of Face Recognition Model
Divyansh Aggarwal
Jiayu Zhou
Anil K. Jain
FedML
21
61
0
07 Apr 2021
Communication-Efficient Agnostic Federated Averaging
Communication-Efficient Agnostic Federated Averaging
Jae Hun Ro
Mingqing Chen
Rajiv Mathews
M. Mohri
A. Suresh
FedML
24
17
0
06 Apr 2021
Federated Learning: A Signal Processing Perspective
Federated Learning: A Signal Processing Perspective
Tomer Gafni
Nir Shlezinger
Kobi Cohen
Yonina C. Eldar
H. Vincent Poor
FedML
39
128
0
31 Mar 2021
Hierarchical Federated Learning with Quantization: Convergence Analysis
  and System Design
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design
Lumin Liu
Jun Zhang
Shenghui Song
Khaled B. Letaief
FedML
47
80
0
26 Mar 2021
Opportunistic Federated Learning: An Exploration of Egocentric
  Collaboration for Pervasive Computing Applications
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
29
25
0
24 Mar 2021
Real-time End-to-End Federated Learning: An Automotive Case Study
Real-time End-to-End Federated Learning: An Automotive Case Study
Hongyi Zhang
J. Bosch
Helena Holmström Olsson
FedML
19
39
0
22 Mar 2021
Demystifying the Effects of Non-Independence in Federated Learning
Demystifying the Effects of Non-Independence in Federated Learning
Stefan Arnold
Dilara Yesilbas
FedML
34
4
0
20 Mar 2021
An Experiment Study on Federated LearningTestbed
An Experiment Study on Federated LearningTestbed
Cheng Shen
Wanli Xue
FedML
9
7
0
19 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
42
109
0
18 Mar 2021
Simeon -- Secure Federated Machine Learning Through Iterative Filtering
Simeon -- Secure Federated Machine Learning Through Iterative Filtering
Nicholas Malecki
Hye-Young Paik
A. Ignjatović
Alan Blair
E. Bertino
FedML
22
1
0
13 Mar 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT
  Systems
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu
Jiaqi Ge
Yong Li
Yao Deng
Longxiang Gao
Mengshi Zhang
Yong Xiang
Xi Zheng
FedML
33
14
0
12 Mar 2021
A Tree-based Model Averaging Approach for Personalized Treatment Effect
  Estimation from Heterogeneous Data Sources
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Ellen Tan
Chung Chang
Ling Zhou
Lu Tang
CML
26
18
0
10 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and
  Meta-Learning
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
Zachary B. Charles
Jakub Konecný
FedML
26
63
0
08 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on
  Heterogeneous Unreliable Devices
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
37
33
0
04 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model
  Personalization
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
Bingyan Liu
Yao Guo
Xiangqun Chen
FedML
24
81
0
02 Mar 2021
Multiple Kernel-Based Online Federated Learning
Multiple Kernel-Based Online Federated Learning
Jeongmin Chae
Songnam Hong
11
0
0
22 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal
  Optimization Techniques
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
Boxin Zhao
Mladen Kolar
FedML
27
52
0
19 Feb 2021
On the Impact of Device and Behavioral Heterogeneity in Federated
  Learning
On the Impact of Device and Behavioral Heterogeneity in Federated Learning
A. Abdelmoniem
Chen-Yu Ho
Pantelis Papageorgiou
Muhammad Bilal
Marco Canini
FedML
16
18
0
15 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with
  Secure Aggregation
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz
Ziyu Liu
Thomas Steinke
FedML
44
232
0
12 Feb 2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with
  Delayed Gradients
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
73
31
0
12 Feb 2021
Robust Federated Learning with Attack-Adaptive Aggregation
Robust Federated Learning with Attack-Adaptive Aggregation
Ching Pui Wan
Qifeng Chen
OOD
FedML
30
30
0
10 Feb 2021
Federated Acoustic Modeling For Automatic Speech Recognition
Federated Acoustic Modeling For Automatic Speech Recognition
Xiaodong Cui
Songtao Lu
Brian Kingsbury
24
33
0
08 Feb 2021
Federated Reconstruction: Partially Local Federated Learning
Federated Reconstruction: Partially Local Federated Learning
K. Singhal
Hakim Sidahmed
Zachary Garrett
Shanshan Wu
Keith Rush
Sushant Prakash
FedML
24
138
0
05 Feb 2021
Network Support for High-performance Distributed Machine Learning
Network Support for High-performance Distributed Machine Learning
F. Malandrino
C. Chiasserini
Nuria Molner
Antonio de la Oliva
58
10
0
05 Feb 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated
  Learning
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata
Taiji Suzuki
FedML
27
50
0
05 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
101
955
0
03 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling
FedProf: Selective Federated Learning with Representation Profiling
Wentai Wu
Ligang He
Weiwei Lin
Carsten Maple
FedML
38
1
0
02 Feb 2021
Decentralized Federated Learning Preserves Model and Data Privacy
Decentralized Federated Learning Preserves Model and Data Privacy
Thorsten Wittkopp
Alexander Acker
14
20
0
01 Feb 2021
Scaling Federated Learning for Fine-tuning of Large Language Models
Scaling Federated Learning for Fine-tuning of Large Language Models
Agrin Hilmkil
Sebastian Callh
Matteo Barbieri
L. R. Sütfeld
Edvin Listo Zec
Olof Mogren
FedML
22
47
0
01 Feb 2021
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