2 papers
cs.LG2025
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Mengmeng Chen, Xiaohu Wu, Qiqi Liu +5
Multi-objective optimization (MOO) exists extensively in machine learning, and aims to find a set of Pareto-optimal solutions, called the Pareto front, e.g., it is fundamental for…
cs.LG2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
Leming Wu, Yaochu Jin, Kuangrong Hao +1
Federated learning (FL) enables collaborative training of deep learning models without requiring data to leave local clients, thereby preserving client privacy. The aggregation pro…