GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing
The global deployment of the 5G network has led to a substantial increase in the
deployment of edge servers to host web applications, catering to the growing demand for …
deployment of edge servers to host web applications, catering to the growing demand for …
Training Machine Learning models at the Edge: A Survey
Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
Integrated Sensing, Communication, and Computing for Cost-effective Multimodal Federated Perception
Federated learning (FL) is a classic paradigm of 6G edge intelligence (EI), which alleviates
privacy leaks and high communication pressure caused by traditional centralized data …
privacy leaks and high communication pressure caused by traditional centralized data …
An edge‐assisted federated contrastive learning method with local intrinsic dimensionality in noisy label environment
The advent of federated learning (FL) has presented a viable solution for distributed training
in edge environment, while simultaneously ensuring the preservation of privacy. In real …
in edge environment, while simultaneously ensuring the preservation of privacy. In real …
Multiple Access in the Era of Distributed Computing and Edge Intelligence
This paper focuses on the latest research and innovations in fundamental next-generation
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
multiple access (NGMA) techniques and the coexistence with other key technologies for the …
MP-SL: Multihop Parallel Split Learning
Federated Learning (FL) stands out as a widely adopted protocol facilitating the training of
Machine Learning (ML) models while maintaining decentralized data. However, challenges …
Machine Learning (ML) models while maintaining decentralized data. However, challenges …
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence
The high-performance generative artificial intelligence (GAI) represents the latest evolution
of computational intelligence, while the blessing of future 6G networks also makes edge …
of computational intelligence, while the blessing of future 6G networks also makes edge …
[PDF][PDF] EcoGen: Fusing Generative AI and Edge Intelligence for Sustainable Scalability
SAIH KUSUMARAJU, A SUNEESH, A RANA… - Memory - researchgate.net
The accelerating advancements in Generative Artificial Intelligence (GenAI) have led to an
unprecedented surge in data creation on the Internet, posing challenges to current …
unprecedented surge in data creation on the Internet, posing challenges to current …