Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …
Efficient parallel split learning over resource-constrained wireless edge networks
The increasingly deeper neural networks hinder the democratization of privacy-enhancing
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
Split learning in 6g edge networks
With the proliferation of distributed edge computing resources, the 6G mobile network will
evolve into a network for connected intelligence. Along this line, the proposal to incorporate …
evolve into a network for connected intelligence. Along this line, the proposal to incorporate …
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 …
Fedsn: A general federated learning framework over leo satellite networks
Recently, a large number of Low Earth Orbit (LEO) satellites have been launched and
deployed successfully in space by commercial companies, such as SpaceX. Due to …
deployed successfully in space by commercial companies, such as SpaceX. Due to …
Adaptsfl: Adaptive split federated learning in resource-constrained edge networks
The increasing complexity of deep neural networks poses significant barriers to
democratizing them to resource-limited edge devices. To address this challenge, split …
democratizing them to resource-limited edge devices. To address this challenge, split …
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 …
AI-native interconnect framework for integration of large language model technologies in 6G systems
The evolution towards 6G architecture promises a transformative shift in communication
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
When large language model agents meet 6G networks: Perception, grounding, and alignment
AI agents based on multimodal large language models (LLMs) are expected to revolutionize
human-computer interaction and offer more personalized assistant services across various …
human-computer interaction and offer more personalized assistant services across various …
Leveraging large language models for intelligent control of 6g integrated tn-ntn with iot service
B Rong, H Rutagemwa - IEEE Network, 2024 - ieeexplore.ieee.org
With the advent of sixth generation (6G) Internet of Things (IoT), integrated terrestrial network
(TN) and non-terrestrial network (NTN) will play a vital role in enabling new applications and …
(TN) and non-terrestrial network (NTN) will play a vital role in enabling new applications and …