Qiang Yang

This article examines the importance and methods of evaluating language models in AI.

Examining how emotional prompts affect large language models' performance.

A new framework enhances out-of-distribution detection in time series analysis.

A deep dive into decentralized federated learning's key aspects and challenges.

A new method improves privacy and performance in federated machine learning.

HiFGL framework addresses challenges in privacy-focused collaborative learning.

New methods improve accuracy in identifying animal sounds for wildlife monitoring.

A new approach using knowledge enhances efficiency in learning from relational graphs.

This article examines a new model for better online shopping suggestions.

FedCoLLM connects large and small language models while ensuring privacy and efficiency.

Navigating privacy and recommendations through unlearning techniques.