Editorial Board
Task offloading in vehicular fog computing: State-of-the-art and open issues
A comparative study of cluster-based Big Data Cube implementations
Dynamic defense against byzantine poisoning attacks in federated learning
DIRAC Site Director: Improving Pilot-Job provisioning on grid resources
Vehicle accident sub-classification modeling using stacked generalization: A multisensor fusion approach
Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices
Video analytics-based real-time intelligent crossing detection system (RICDS): Killer app for edge computing
Host-based IDS: A review and open issues of an anomaly detection system in IoT
Multiple-instance domain adaptation for cost-effective sensor-based human activity recognition
A reconfigurable resource management framework for fog environments
Group data freshness scheme for outsourced data in distributed systems
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states
A large experimentation to analyze the effects of implementation bugs in machine learning algorithms
On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples
Truthful resource trading for dependent task offloading in heterogeneous edge computing
SDN-based dynamic multi-path routing strategy for satellite networks
SLO-aware dynamic self-adaptation of resources
ATDNNS: An adaptive time–frequency decomposition neural network-based system for tropical cyclone wave height real-time forecasting
Federated learning empowered mobility-aware proactive content offloading framework for fog radio access networks
Towards trusted node selection using blockchain for crowdsourced abnormal data detection
A novel searchable encryption scheme to reduce the access pattern leakage
Enabling secure time-series data sharing via homomorphic encryption in cloud-assisted IIoT
SDN Spotlight: A real-time OpenFlow troubleshooting framework
Model and system for scientific workflows represented in file system directory tree
Robust ensemble method for short-term traffic flow prediction
Preface of special issue on Artificial Intelligence: The security & privacy opportunities and challenges for emerging applications
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning
Interpretable clinical time-series modeling with intelligent feature selection for early prediction of antimicrobial multidrug resistance
The explainability paradox: Challenges for xAI in digital pathology
Query-based black-box attack against medical image segmentation model
An across online social networks profile building approach: Application to suicidal ideation detection
