[HTML][HTML] Large language models meet next-generation networking technologies: A review
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …
information sharing, and connectivity. Traditional networks, relying on static configurations …
When foundation model meets federated learning: Motivations, challenges, and future directions
The intersection of the Foundation Model (FM) and Federated Learning (FL) provides mutual
benefits, presents a unique opportunity to unlock new possibilities in AI research, and …
benefits, presents a unique opportunity to unlock new possibilities in AI research, and …
Open challenges and opportunities in federated foundation models towards biomedical healthcare
X Li, L Peng, YP Wang, W Zhang - BioData Mining, 2025 - Springer
This survey explores the transformative impact of foundation models (FMs) in artificial
intelligence, focusing on their integration with federated learning (FL) in biomedical …
intelligence, focusing on their integration with federated learning (FL) in biomedical …
Grounding foundation models through federated transfer learning: A general framework
Foundation Models (FMs) such as GPT-4 encoded with vast knowledge and powerful
emergent abilities have achieved remarkable success in various natural language …
emergent abilities have achieved remarkable success in various natural language …
Fedra: A random allocation strategy for federated tuning to unleash the power of heterogeneous clients
With the increasing availability of Foundation Models, federated tuning has garnered
attention in the field of federated learning, utilizing data and computation resources from …
attention in the field of federated learning, utilizing data and computation resources from …
Iot in the era of generative ai: Vision and challenges
Equipped with sensing, networking, and computing capabilities, Internet of Things (IoT) such
as smartphones, wearables, smart speakers, and household robots have been seamlessly …
as smartphones, wearables, smart speakers, and household robots have been seamlessly …
Automated federated pipeline for parameter-efficient fine-tuning of large language models
Recently, there has been a surge in the development of advanced intelligent generative
content (AIGC), especially large language models (LLMs). However, for many downstream …
content (AIGC), especially large language models (LLMs). However, for many downstream …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
[PDF][PDF] Backdoor threats from compromised foundation models to federated learning
Federated learning (FL) represents a novel paradigm to machine learning, addressing
critical issues related to data privacy and security, yet suffering from data insufficiency and …
critical issues related to data privacy and security, yet suffering from data insufficiency and …
Towards Federated Large Language Models: Motivations, Methods, and Future Directions
Large Language Models (LLMs), such as LLaMA and GPT-4, have transformed the
paradigm of natural language comprehension and generation. Despite their impressive …
paradigm of natural language comprehension and generation. Despite their impressive …