Federated cINN Clustering for Accurate Clustered Federated Learning

no code implementations • 4 Sep 2023 • Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv

However, a significant challenge arises when coordinating FL with crowd intelligence which diverse client groups possess disparate objectives due to data heterogeneity or distinct tasks.

Clustering Federated Learning +1

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence

no code implementations • ICCV 2023 • Yuhao Zhou, Mingjia Shi, Yuanxi Li, Qing Ye, Yanan sun, Jiancheng Lv

Reducing communication overhead in federated learning (FL) is challenging but crucial for large-scale distributed privacy-preserving machine learning.

Federated Learning Privacy Preserving

Semantic Evolutionary Concept Distances for Effective Information Retrieval in Query Expansion

no code implementations • 19 Jan 2017 • Valentina Franzoni, Yuanxi Li, Clement H. C. Leung, Alfredo Milani

In this work several semantic approaches to concept-based query expansion and reranking schemes are studied and compared with different ontology-based expansion methods in web document search and retrieval.

Information Retrieval Retrieval

Web-based Semantic Similarity for Emotion Recognition in Web Objects

no code implementations • 17 Dec 2016 • Valentina Franzoni, Giulio Biondi, Alfredo Milani, Yuanxi Li

In this project we propose a new approach for emotion recognition using web-based similarity (e. g. confidence, PMI and PMING).

Emotion Recognition Semantic Similarity +3