Maoguo Gong

Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering

2019

Fuzzy clustering algorithm based on multiobjective optimization can achieve accurate and comprehensive clustering results. However, the estimation of objective values for this multiobjective optimization problem (MOP) might be expensive. Offspring's selection driven by simple evaluation …

Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification

2023 · IEEE Transactions on Emerging Topics in Computational Intelligence

Multi-party learning allows all parties to train a joint model under legal and practical constraints without private data transmission. Related research can perform multi-party learning tasks on homogeneous data through deep networks. However, due to …

Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images

2023 · IEEE Transactions on Neural Networks and Learning Systems

Multiparty learning (MPL) is an emerging framework for privacy-preserving collaborative learning. It enables individual devices to build a knowledge-shared model and remaining sensitive data locally. However, with the continuous increase of users, the heterogeneity gap …

Personalized Recommendation Based on Evolutionary Multi-Objective Optimization [Research Frontier]

2015 · IEEE Computational Intelligence Magazine

Traditional recommendation techniques in recommender systems mainly focus on improving recommendation accuracy. However, personalized recommendation, which considers the multiple needs of users and can make both accurate and diverse recommendations, is more suitable for modern …