With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …

Abstract The proliferation of Large Language Models (LLMs) has driven considerable
interest in fine-tuning them with domain-specific data to create specialized language …

This paper proposes a locally differentially private federated learning algorithm for strongly
convex but possibly nonsmooth problems that protects the gradients of each worker against …

Text summarization is essential for information aggregation and demands large amounts of
training data. However, concerns about data privacy and security limit data collection and …