Integration of Federated Learning and AI-Generated Content: A Survey of Overview, Opportunities, Challenges, and Solutions
Y Liu, J Yin, W Zhang, C An, Y Xia… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial intelligence generated content (AIGC) relies on advanced AI algorithms supported
by extensive datasets and substantial computing power to generate precise and pertinent …
by extensive datasets and substantial computing power to generate precise and pertinent …
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Federated learning (FL) has emerged as a promising paradigm that enables clients to
collaboratively train a shared global model without uploading their local data. To alleviate …
collaboratively train a shared global model without uploading their local data. To alleviate …
Multi-Objective Aerial Collaborative Secure Communication Optimization Via Generative Diffusion Model-Enabled Deep Reinforcement Learning
Due to flexibility and low-cost, unmanned aerial vehicles (UAVs) are increasingly crucial for
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
enhancing coverage and functionality of wireless networks. However, incorporating UAVs …
Energy-efficient decentralized federated learning for UAV swarm with spiking neural networks and leader election mechanism
Federated Learning (FL) has been considered a critical technique for assisting Unmanned
Aerial Vehicle (UAV) swarm to efficiently perform tasks in dynamic environments. However …
Aerial Vehicle (UAV) swarm to efficiently perform tasks in dynamic environments. However …
Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things
Generative diffusion models (GDMs) have emerged as potent tools for generating high-
quality, creative content across various media, including audio, images, videos, and 3-D …
quality, creative content across various media, including audio, images, videos, and 3-D …
Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism
Federated learning (FL) encounters slow convergence due to data heterogeneity issues.
Recently, generative artificial intelligence (AI) has showcased remarkable capabilities in …
Recently, generative artificial intelligence (AI) has showcased remarkable capabilities in …
D-tracking: digital twin enabled trajectory tracking system of autonomous vehicles
The precision of trajectory tracking significantly influences the driving safety of autonomous
vehicles. Therefore, it is crucial to accurately estimate and use control algorithms to reduce …
vehicles. Therefore, it is crucial to accurately estimate and use control algorithms to reduce …
Hybrid RAG-Empowered Multi-Modal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-Based Contract Approach
Secure data management and effective data sharing have become paramount in the rapidly
evolving healthcare landscape, especially with the growing demand for the Internet of …
evolving healthcare landscape, especially with the growing demand for the Internet of …
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Driven by the great advances in metaverse and edge computing technologies, vehicular
edge metaverses are expected to disrupt the current paradigm of intelligent transportation …
edge metaverses are expected to disrupt the current paradigm of intelligent transportation …
Hybrid RAG-empowered Multi-modal LLM for Secure Healthcare Data Management: A Diffusion-based Contract Theory Approach
Secure data management and effective data sharing have become paramount in the rapidly
evolving healthcare landscape. The advancement of generative artificial intelligence has …
evolving healthcare landscape. The advancement of generative artificial intelligence has …