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BFRT: Blockchained Federated Learning for Real-time Traffic Flow
  Prediction

BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction

28 May 2023
Collin Meese
Hang Chen
Syed Ali Asif
Wanxin Li
Chien-Chung Shen
Mark M. Nejad
ArXivPDFHTML

Papers citing "BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction"

10 / 10 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
49
0
0
08 May 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
Nazmul Islam
Mohammad Zulkernine
40
0
0
03 Mar 2025
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated
  Learning-based Traffic Prediction
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Hao Guo
Collin Meese
Wanxin Li
Chien-Chung Shen
Mark M. Nejad
16
6
0
23 Oct 2023
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
28
5
0
08 Oct 2023
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication
  for Autonomous Truck Platooning
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning
Wanxin Li
Collin Meese
Hao Guo
Mark M. Nejad
19
13
0
31 May 2023
Traffic Prediction using Artificial Intelligence: Review of Recent
  Advances and Emerging Opportunities
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan
Collin Meese
Wanxin Li
Xiaoliang (George) Zhao
Mark M. Nejad
24
108
0
31 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility
  Applications
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Yacine Belal
Sonia Ben Mokhtar
Hamed Haddadi
Jaron Wang
A. Mashhadi
FedML
33
9
0
09 May 2023
Model-Agnostic Federated Learning
Model-Agnostic Federated Learning
Gianluca Mittone
Walter Riviera
Iacopo Colonnelli
Robert Birke
Marco Aldinucci
FedML
10
7
0
08 Mar 2023
Robust Blockchained Federated Learning with Model Validation and
  Proof-of-Stake Inspired Consensus
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus
Hang Chen
Syed Ali Asif
Jihong Park
Chien-Chung Shen
M. Bennis
FedML
33
41
0
09 Jan 2021
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
162
564
0
27 Jul 2020
1