Advances and open challenges in federated learning with foundation models
The integration of Foundation Models (FMs) with Federated Learning (FL) presents a
transformative paradigm in Artificial Intelligence (AI), offering enhanced capabilities while …
transformative paradigm in Artificial Intelligence (AI), offering enhanced capabilities while …
Adaptive Crash-Avoidance Predictive Control Under Multi-Vehicle Dynamic Environment for Intelligent Vehicles
Intelligent vehicles (IVs) play a pivotal role within the Intelligent Transportation System (ITS),
significantly enhancing transportation efficiency and mitigating the risks of accidents …
significantly enhancing transportation efficiency and mitigating the risks of accidents …
FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things
J Li, H Wei, J Liu, W Liu - Expert Systems with Applications, 2024 - Elsevier
Federated Learning (FL) enabled edge computing has been widely used in training complex
deep learning models by coordinating various heterogeneous resources in Industrial …
deep learning models by coordinating various heterogeneous resources in Industrial …
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments
V Ninkovic, D Vukobratovic… - 2024 7th International …, 2024 - ieeexplore.ieee.org
Distributed learning and inference algorithms have become indispensable for IoT systems,
offering benefits such as workload alleviation, data privacy preservation, and reduced …
offering benefits such as workload alleviation, data privacy preservation, and reduced …