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A survey on federated learning: challenges and applications
J Wen, Z Zhang, Y Lan, Z Cui, J Cai… - International Journal of …, 2023 - Springer
Federated learning (FL) is a secure distributed machine learning paradigm that addresses
the issue of data silos in building a joint model. Its unique distributed training mode and the …
the issue of data silos in building a joint model. Its unique distributed training mode and the …
Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey
Y Wan, Y Qu, W Ni, Y ** data privacy: An XGBoost-IGWO-LSTM-based personalized federated learning approach
P Han, Z Liu, Z Sun, C Yan - Ocean Engineering, 2024 - Elsevier
Due to the protection of ship** data privacy, ship** companies rarely share ship**
raw data. Therefore, how to protect ship** data privacy is a crucial issue when predicting …
raw data. Therefore, how to protect ship** data privacy is a crucial issue when predicting …
An intrusion detection system for edge-envisioned smart agriculture in extreme environment
The deployment of Internet of Things (IoT) systems in smart agriculture (SA) operates in
extreme environments, including wind, snowfall, flooding, landscape, and so on for …
extreme environments, including wind, snowfall, flooding, landscape, and so on for …
Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges
At present, the mainstream mode of machine learning algorithms is the data‐driven method,
which mainly relies on the self‐learning ability of deep neural networks and continuously …
which mainly relies on the self‐learning ability of deep neural networks and continuously …
Anti-Byzantine attacks enabled vehicle selection for asynchronous federated learning in vehicular edge computing
Z Cui, X ** optimization and management
Many ship** companies are unwilling to share their raw data because of data privacy
concerns. However, certain problems in the maritime industry become much more solvable …
concerns. However, certain problems in the maritime industry become much more solvable …