7 天前 - … Abstract—User selection has became crucial for improving energy efficiency in
communication of federated learning (FL) over wireless networks. However, centralized user …

8 天前 - … Additionally, we address the uncertainty and variability inherent in wireless networks,
enhancing the scheme’s resilience to fluctuations in connectivity. By incorporating these …

9 天前 - … Abstract—Hierarchical federated learning (HFL) shows great advantages over
conventional two-layer federated learning (FL) in reducing network overhead and interaction …

9 天前 - … (IIoT), advancements in wireless technology have resulted in significant cybersecurity
… an advanced deep hybrid learning model in an asynchronous federated learning setup, …

9 天前 - … is based on 6G wireless communication network in smart healthcare system …
learning coyote foraging optimizer. Then the network CPS analysis is carried out using federated …

10 天前 - … of machine learning and wireless edge networks, where federated learning (FL)
is … Wang, “A federated learning framework for fingerprinting-based indoor localization in …

13 天前 - … the integration of B5G\6G networks and the wireless UAV ecosystem. These …
learning model using Federated Learning while operating at a fixed altitude in a UAV network, as …

13 天前 - … effectively addresses heterogeneous data distributions across clients and strengthens
privacy preservation at reduced communication costs, especially over wireless networks. …

13 天前 - … , a federated multi-agent deep reinforcement learning (… , asynchronous hierarchical
federated learning with partial and … reinforcement learning, hierarchical federated learning, …

13 天前 - … His primary research interests encompass foundation model training in wireless
networks, reinforcement learning for resource allocation and distributed federated learning. …