Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey
Due to the greatly improved capabilities of devices, massive data, and increasing concern
about data privacy, Federated Learning (FL) has been increasingly considered for …
about data privacy, Federated Learning (FL) has been increasingly considered for …
Communication architecture and operations for SDR-enabled UAVs network in disaster-stressed areas
The article presents a collaboration and communication architecture for disaster stressed
areas where communication losses restrain disaster response and perplex rescue …
areas where communication losses restrain disaster response and perplex rescue …
Reliable and Energy-efficient Communications via Collaborative Beamforming for UAV Networks
Unmanned aerial vehicles (UAVs) have been demonstrated to be a prominent component
for wireless communications. In this work, we consider an emergency communication …
for wireless communications. In this work, we consider an emergency communication …
Multi-Hop Task Offloading and Relay Selection for IoT Devices in Mobile Edge Computing
T Li, Y Liu, T Ouyang, H Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To bridge the gap of conventional single-hop task offloading schemes in infrastructure-free
scenarios, multi-hop task offloading schemes for IoT devices in Mobile Edge Computing …
scenarios, multi-hop task offloading schemes for IoT devices in Mobile Edge Computing …
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning with Diffusion Models
Y Zhao, CH Liu, T Yi, G Li, D Wu - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
The integrated ground-air-space (GAS) communications system can enhance post-disaster
rescue and management efforts when traditional networks fail, by navigating unmanned …
rescue and management efforts when traditional networks fail, by navigating unmanned …
MARL Based UAVs' Trajectory and Beamforming Optimization for ISAC System
A multiple unmanned aerial vehicles (UAVs) enabled integrated sensing and
communication (ISAC) system is investigated. In contrast to existing UAV-enabled ISAC …
communication (ISAC) system is investigated. In contrast to existing UAV-enabled ISAC …
Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
In our study, we explore the task of performing docking maneuvers between two unmanned
aerial vehicles (UAVs) using a combination of offline and online reinforcement learning (RL) …
aerial vehicles (UAVs) using a combination of offline and online reinforcement learning (RL) …
Optimizing UAV-UGV coalition operations: A hybrid clustering and multi-agent reinforcement learning approach for path planning in obstructed environment
One of the most critical applications undertaken by Unmanned Aerial Vehicles (UAVs) and
Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most …
Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most …
Communication-Dependent Computing Resource Management for Concurrent Task Orchestration in IoT Systems
Recent advances in distributed machine learning and wireless network technologies are
bringing new opportunities for Internet of Things (IoT) systems, where smart devices are …
bringing new opportunities for Internet of Things (IoT) systems, where smart devices are …
[HTML][HTML] Distributed Resources Allocation Method for Space–Ground Integrated Mobile Communication System
This paper presents an innovative approach towards space–ground integrated
communication systems by combining terrestrial cellular networks, UAV networks, and …
communication systems by combining terrestrial cellular networks, UAV networks, and …