FedViT: Federated continual learning of vision transformer at edge

Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral part of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge...

Fuzzy Adaptive Output-Feedback Constrained Trajectory Tracking Control for HFVs with Fixed-Time Convergence

This article proposes an output-feedback fixed-time trajectory tracking control methodology for hypersonic flight vehicles subject to asymmetric output constraints. In contrast to the state of the art, the most distinguishing feature of our control design lies in avoiding using conventional recursive design methods (e.g., backstepping...

Mechanical and chloride permeability properties of coarse fibre reinforced concrete

Synthetic fibers have been widely studied as reinforcing materials to increase the mechanical and durability properties of concrete. According to its diameter, fibers can be categorized as micro and macro (or coarse) fibers. As most research focuses on the mechanical properties of fiber reinforced concrete, its chloride permeability properties...