A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, S. Savarese, Social lstm: Human trajectory prediction in crowded spaces, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2016, pp. 961–971

2016

Earlier work this paper cites.

B. McMahan, E. Moore, D. Ramage, S. Hampson, B. A. y Arcas, Communication-efficient learning of deep networks from decentralized data, in: Artificial intelligence and statistics, PMLR, 2017, pp. 1273–1282

2017

Earlier work this paper cites.

B. Coifman, L. Li, A critical evaluation of the next generation simulation (ngsim) vehicle trajectory dataset, Transportation Research Part B: Methodological 105 (2017) 362–377

2017

Earlier work this paper cites.

M. Hao, H. Li, G. Xu, S. Liu, H. Yang, Towards efficient and privacy-preserving federated deep learning, in: ICC 2019-2019 IEEE International Conference on Communications (ICC), IEEE, 2019, pp. 1–6

2019

Earlier work this paper cites.

X. Zhang, M. Peng, S. Yan, Y. Sun, Deep-reinforcement-learning-based mode selection and resource allocation for cellular v2x communications, IEEE Internet of Things Journal 7 (7) (2019) 6380–6391

2019

Earlier work this paper cites.

T. Wang, Z. Cao, S. Wang, J. Wang, L. Qi, A. Liu, M. Xie, X. Li, Privacy-enhanced data collection based on deep learning for internet of vehicles, IEEE Transactions on Industrial Informatics 16 (10) (2019) 6663–6672

2019

Earlier work this paper cites.

J. Hamer, M. Mohri, A. T. Suresh, Fedboost: A communication-efficient algorithm for federated learning, in: International Conference on Machine Learning, PMLR, 2020, pp. 3973–3983

2020

Earlier work this paper cites.

L. Li, Y. Fan, M. Tse, K.-Y. Lin, A review of applications in federated learning, Computers & Industrial Engineering (2020) 106854

2020

Cited alongside, same era.

H. Zhou, W. Xu, J. Chen, W. Wang, Evolutionary v2x technologies toward the internet of vehicles: Challenges and opportunities, Proceedings of the IEEE 108 (2) (2020) 308–323

2020

Cited alongside, same era.

T. Fu, P. Liu, K. Liu, P. Li, Privacy-preserving vehicle assignment in the parking space sharing system, Wireless Communications and Mobile Computing 2020

2020

Cited alongside, same era.

R. Shrestha, R. Bajracharya, A. P. Shrestha, S. Y. Nam, A new type of blockchain for secure message exchange in vanet, Digital communications and networks 6 (2) (2020) 177–186

2020

Cited alongside, same era.

X. Wang, S. Garg, H. Lin, G. Kaddoum, J. Hu, M. F. Alhamid, An intelligent uav based data aggregation algorithm for 5g-enabled internet of things, Computer Networks 185 (2021) 107628

2021

Closest in time.

C. Feng, Z. Zhao, Y. Wang, T. Q. S. Quek, M. Peng, On the design of federated learning in the mobile edge computing systems, IEEE Transactions on Communications (2021) 1–1

2021

Closest in time.

Z. Song, H. Sun, H. H. Yang, X. Wang, T. Quek, Reputation-based federated learning for secure wireless networks, IEEE Internet of Things Journal PP (99) (2021) 1–1

2021

Closest in time.

X. Kong, H. Gao, G. Shen, G. Duan, S. K. Das, Fedvcp: A federated-learning-based cooperative positioning scheme for social internet of vehicles, IEEE Transactions on Computational Social Systems PP (99) (2021) 1–10

2021

Closest in time.