Search Results for author:
Found 5 papers, 1 papers with code
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
After that, we provide a deep literature review for the applications of RL in I-health systems.
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data.
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
The confluence of pervasive computing and artificial intelligence, Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges.
Compress or Interfere?
Rapid evolution of wireless medical devices and network technologies has fostered the growth of remote monitoring systems.
