Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges
F Khoramnejad, E Hossain - arXiv preprint arXiv:2405.17454, 2024 - arxiv.org
Next-generation (xG) wireless networks, with their complex and dynamic nature, present
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
significant challenges to using traditional optimization techniques. Generative AI (GAI) …
[HTML][HTML] Analysis of the Use of Artificial Intelligence in Software-Defined Intelligent Networks: A Survey
The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …
the computational power required for artificial intelligence (AI), hindering its practical …
When NOMA Meets AIGC: Enhanced Wireless Federated Learning
D Xu, L Duan, H Zhu - arXiv preprint arXiv:2406.10897, 2024 - arxiv.org
Wireless federated learning (WFL) enables devices to collaboratively train a global model
via local model training, uploading and aggregating. However, WFL faces the data …
via local model training, uploading and aggregating. However, WFL faces the data …
Neural Network-Based Log Anomaly Detection Algorithm for 6G Wireless Integrated Cyber-Physical System
J Shen, R Tie, Z Li, B Liu, Z Fan, J Lu - Wireless Personal Communications, 2024 - Springer
Smart networking administration and operations are vital components for the 6G future of
systems, even though the cloudification of micro-services-oriented networking is a popular …
systems, even though the cloudification of micro-services-oriented networking is a popular …
Generative AI-driven Digital Twin for Mobile Networks
H Chai, H Wang, T Li, Z Wang - IEEE Network, 2024 - ieeexplore.ieee.org
The sixth generation mobile network (6G) is evolving to provide ubiquitous connections,
multidimensional perception, native intelligence, global coverage, etc., which poses intense …
multidimensional perception, native intelligence, global coverage, etc., which poses intense …
Towards Multi-Task Generative-AI Edge Services with an Attention-based Diffusion DRL Approach
Y Liu, X Lin, S Li, G Li, Q Mao, J Li - arXiv preprint arXiv:2405.08328, 2024 - arxiv.org
As an emerging paradigm of content creation, AI-Generated Content (AIGC) has been
widely adopted by a large number of edge end users. However, the requests for generated …
widely adopted by a large number of edge end users. However, the requests for generated …
Generative Model for Joint Resource Management in Multi-Cell Multi-Carrier NOMA Networks
EM Diallo - arXiv preprint arXiv:2405.05531, 2024 - arxiv.org
In this work, we design a generative artificial intelligence (GAI)-based framework for joint
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …
resource allocation, beamforming, and power allocation in multi-cell multi-carrier non …
Higher Performance of Mistral Large on MMLU Benchmark through Two-Stage Knowledge Distillation
J Wilkins, M Rodriguez - 2024 - researchsquare.com
Large language models (LLM) have undergone significant transformations through the
application of knowledge distillation techniques aimed at enhancing performance on …
application of knowledge distillation techniques aimed at enhancing performance on …
[PDF][PDF] Future Learning Frontiers: Overcoming Challenges of Generative AI Implementation
D Harry, G Hinton - researchgate.net
Generative AI represents a transformative frontier in learning technologies, promising
unprecedented advancements in various domains. However, its implementation faces …
unprecedented advancements in various domains. However, its implementation faces …