Federated edge learning (FEEL) is envisioned as a promising paradigm to achieve privacy-preserving distributed learning. However, it consumes excessive time due the existence of straggler devices. In this article, novel topology-optimized FEEL (TOFEL) scheme proposed tackle heterogeneity issue in federated and improve communication-and-computation efficiency. Specifically, problem jointly optim...

Cellular structures manifest their outstanding mechanical properties in many biological systems. One key challenge for designing and optimizing these geometrically complicated lies devising an effective geometric representation to characterize the system's spatially varying cellular evolution driven by objective sensitivities. A conventional discrete structure, e.g., a Voronoi diagram, whose re...

In this article, a generalized optimality criteria method is proposed for topology optimization with arbitrary objective function and multiple inequality constraints. This algorithm uses sensitivity information to update both the Lagrange multipliers design variables. Different from conventional method, does not satisfy constraints at every iteration. Rather, it improves variables such that are...

Abstract Combining with the constitutive relation of orthotropic materials, a fatigue topology optimization model considering materials is established based on Independent Continuous Mapping (ICM) method. It uses minimum structural mass as objective, element life constraint condition, and criterion The filtration function, stiffness function are introduced to identify whether material retained....