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Edge Computing
Research Group in Computer Science & IT
 
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HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
Posted by Mark Field in Computer Science & IT and Edge Computing

Machine Learning

Artificial Intelligence

Distributed, Parallel, and Cluster Computing

Split federated learning (SFL) has emerged as a promising paradigm to democratize machine learning (ML) on edge devices by enabling layer-wise model partitioning. However, existing SFL appro....
Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC ...
Posted by Mark Field in Computer Science & IT and Edge Computing

Artificial Intelligence

Signal Processing

The computation demands from the maritime Internet of Things (MIoT) increase rapidly in recent years, and the unmanned aerial vehicles (UAVs) and vessels based multi-access edge computing (M....
Generative AI for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Mod ...
Posted by Mark Field in Computer Science & IT and Edge Computing

Artificial Intelligence

Computational Engineering, Finance, and Science

Wildfires continue to inflict devastating human, environmental, and economic losses globally, as tragically exemplified by the 2025 Los Angeles wildfire and the urgent demand for more effect....
Large Language Models and Their Applications in Roadway Safety and Mobility Enha ...
Posted by Mark Field in Computer Science & IT and Edge Computing

Artificial Intelligence

Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and heterogeneous....