Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
Large language model (llm) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities
Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …
outstanding comprehension and reasoning capabilities, leading to great progress in many …
Cloud-Edge Collaborative Large Model Services: Challenges and Solutions
The rapid development of large models such as GPT-4 and Midjourney has spawned
worldwide attention in various fields. To practically deploy large model services in …
worldwide attention in various fields. To practically deploy large model services in …
6G comprehensive intelligence: network operations and optimization based on Large Language Models
S Long, F Tang, Y Li, T Tan, Z Jin, M Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
The sixth generation mobile communication standard (6G) can promote the development of
Industrial Internet and Internet of Things (IoT). To achieve comprehensive intelligent …
Industrial Internet and Internet of Things (IoT). To achieve comprehensive intelligent …
Enabling Distributed Generative Artificial Intelligence in 6G: Mobile Edge Generation
Mobile edge generation (MEG) is an emerging technology that allows the network to meet
the challenging traffic load expectations posed by the rise of generative artificial …
the challenging traffic load expectations posed by the rise of generative artificial …
Self-Healing in Knowledge-Driven Autonomous Networks: Context, Challenges, and Future Directions
With the advancement of communication and computer technology, network architectures
have become increasingly complex, accompanied by the continual emergence of novel …
have become increasingly complex, accompanied by the continual emergence of novel …
Large Model Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Large Model (LM) agents, powered by large foundation models such as GPT-4 and DALL-E
2, represent a significant step towards achieving Artificial General Intelligence (AGI). LM …
2, represent a significant step towards achieving Artificial General Intelligence (AGI). LM …
Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs
This paper develops an edge-device collaborative Generative Semantic Communications
(Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models …
(Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models …
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Optimizing the deployment of large language models (LLMs) in edge computing
environments is critical for enhancing privacy and computational efficiency. Toward efficient …
environments is critical for enhancing privacy and computational efficiency. Toward efficient …
Snake Learning: A Communication-and Computation-Efficient Distributed Learning Framework for 6G
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network
infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource …
infrastructure emerges as a pivotal strategy for enhancing network intelligence and resource …