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Privacy-preserving Traffic Flow Prediction: A Federated Learning
  Approach

Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach

19 March 2020
Yi Liu
James J. Q. Yu
Jiawen Kang
Dusit Niyato
Shuyu Zhang
    AI4TS
ArXivPDFHTML

Papers citing "Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach"

37 / 87 papers shown
Title
Efficient Federated Learning with Spike Neural Networks for Traffic Sign
  Recognition
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition
Kan Xie
Zhe Zhang
Bo Li
Jiawen Kang
Dusit Niyato
Shengli Xie
Yi Wu
25
66
0
28 May 2022
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory
  Mode Inference
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
Daniel Opoku Mensah
Godwin Badu-Marfo
Ranwa Al Mallah
Bilal Farooq
FedML
9
4
0
11 May 2022
Privacy-preserving Anomaly Detection in Cloud Manufacturing via
  Federated Transformer
Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer
Shiyao Ma
Jiangtian Nie
Jiawen Kang
Lingjuan Lyu
R. W. Liu
Ruihui Zhao
Ziyao Liu
Dusit Niyato
FedML
15
20
0
02 Apr 2022
Federated Named Entity Recognition
Federated Named Entity Recognition
Joel Mathew
Dimitris Stripelis
J. Ambite
FedML
22
1
0
28 Mar 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for
  Edge Intelligence
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Arvin Tashakori
Wenwen Zhang
Z. Jane Wang
Peyman Servati
27
19
0
15 Mar 2022
A Systematic Literature Review on Blockchain Enabled Federated Learning
  Framework for Internet of Vehicles
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles
M. Billah
S. T. Mehedi
A. Anwar
Ziaur Rahman
R. Islam
32
26
0
10 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
33
40
0
07 Mar 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault
  Diagnosis of PV Stations
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
Qi Liu
Bo-Jun Yang
Zhaojian Wang
Dafeng Zhu
Xinyi Wang
Kai Ma
Xinping Guan
41
38
0
28 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial
  Networks
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
27
56
0
18 Feb 2022
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
40
21
0
07 Feb 2022
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal
  Federated Learning with Reputation and Contribution Measurement
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement
Jingwen Zhang
Yuezhou Wu
Rong Pan
FedML
32
19
0
07 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic
  Recognition in Internet of Drones
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
16
35
0
03 Jan 2022
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and
  Research Challenges
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
24
22
0
09 Dec 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and
  System Design
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang
Shiyao Ma
Jiangtian Nie
Yi Wu
Qiang Yan
Xiaoke Xu
Dusit Niyato
FedML
21
16
0
26 Oct 2021
FedParking: A Federated Learning based Parking Space Estimation with
  Parked Vehicle assisted Edge Computing
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
Xumin Huang
Peichun Li
Rong Yu
Yuan Wu
Kan Xie
Shengli Xie
FedML
42
82
0
19 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities,
  Applications, and Future Directions
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
55
39
0
08 Oct 2021
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption
  of Battery Electric Vehicles
Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles
Mingming Liu
24
14
0
05 Aug 2021
Communication Efficiency in Federated Learning: Achievements and
  Challenges
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid
Seyedamin Pouriyeh
R. Parizi
Quan Z. Sheng
Gautam Srivastava
Liang Zhao
FedML
40
74
0
23 Jul 2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in
  Distributed Learning
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
Shuo Wang
Surya Nepal
Kristen Moore
M. Grobler
Carsten Rudolph
A. Abuadbba
FedML
40
8
0
03 May 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
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
Big Data for Traffic Estimation and Prediction: A Survey of Data and
  Tools
Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
Weiwei Jiang
Jiayun Luo
13
33
0
18 Mar 2021
Sustainable Federated Learning
Sustainable Federated Learning
Başak Güler
Aylin Yener
22
13
0
22 Feb 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
29
45
0
25 Jan 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
61
212
0
14 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Viet Quoc Pham
K. Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
33
192
0
04 Jan 2021
Towards Communication-efficient and Attack-Resistant Federated Edge
  Learning for Industrial Internet of Things
Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
Yi Liu
Ruihui Zhao
Jiawen Kang
A. Yassine
Dusit Niyato
Jia-Jie Peng
FedML
72
35
0
08 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks
  and Defenses
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses
Yi Liu
Xingliang Yuan
Ruihui Zhao
Cong Wang
Dusit Niyato
Yefeng Zheng
33
5
0
08 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
36
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
27
82
0
25 Nov 2020
Scalable and Communication-efficient Decentralized Federated Edge
  Learning with Multi-blockchain Framework
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
Jiawen Kang
Zehui Xiong
Chunxiao Jiang
Yi Liu
Song Guo
Yang Zhang
Dusit Niyato
Cyril Leung
Chunyan Miao
FedML
38
40
0
10 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
566
0
27 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for
  Embedded Intelligence
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed
Flora Salim
T. Ozcelebi
J. Lukkien
FedML
SSL
101
99
0
25 Jul 2020
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing
  Framework with UAV Swarms
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu
Jiangtian Nie
Xuandi Li
Syed Hassan Ahmed
Wei Yang Bryan Lim
Chunyan Miao
35
147
0
23 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A
  Communication-Efficient On-device Federated Learning Approach
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu
S. Garg
Jiangtian Nie
Yan Zhang
Zehui Xiong
Jiawen Kang
M. S. Hossain
FedML
39
378
0
19 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19
  detection using CT Imaging
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging
R. Kumar
A. Khan
Sinmin Zhang
Jay Kumar
Wenyong Wang
Yousif Abuidris
Zakria
Waqas Amin
Sidra Shafiq
WenYong Wang
OOD
FedML
31
325
0
10 Jul 2020
Federated Learning for 6G Communications: Challenges, Methods, and
  Future Directions
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
Yi Liu
Xingliang Yuan
Zehui Xiong
Jiawen Kang
Xiaofei Wang
Dusit Niyato
FedML
AI4CE
10
279
0
04 Jun 2020
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