Fast-convergent and communication-alleviated heterogeneous hierarchical federated learning in autonomous driving
Street Scene Semantic Understanding (denoted as TriSU) is a complex task for autonomous
driving (AD). However, inference model trained from data in a particular geographical region …
driving (AD). However, inference model trained from data in a particular geographical region …
Multi-objective federated learning: Balancing global performance and individual fairness
In federated learning, non-iid data not only diminishes the performance of the global model
but also gives rise to the fairness problem which manifests as an increase in the variance of …
but also gives rise to the fairness problem which manifests as an increase in the variance of …
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
Pareto set learning (PSL) is an emerging approach for acquiring the complete Pareto set of
a multi-objective optimization problem. Existing methods primarily rely on the mapping of …
a multi-objective optimization problem. Existing methods primarily rely on the mapping of …
Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization
On the multi-objective optimization problems (MOP), the dominance-resistant solution (DRS)
refers to the solution that has inferior objective values but is difficult to dominate by other …
refers to the solution that has inferior objective values but is difficult to dominate by other …