Iot malware analysis using federated learning: A comprehensive survey
M Venkatasubramanian, AH Lashkari, S Hakak - IEEE Access, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has paved the way to a highly connected society where all things
are interconnected and exchanging information has become more accessible through the …
are interconnected and exchanging information has become more accessible through the …
Network for Distributed Intelligence: A Survey and Future Perspectives
To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …
Deep reinforcement learning-based resource allocation for UAV-enabled federated edge learning
The resource allocation of the federated learning (FL) for unmanned aerial vehicle (UAV)
swarm systems are investigated. The UAV swarms based on FL realize the artificial …
swarm systems are investigated. The UAV swarms based on FL realize the artificial …
Characterization of the global bias problem in aerial federated learning
Unmanned aerial vehicles (UAVs) mobility enables flexible and customized federated
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …
learning (FL) at the network edge. However, the underlying uncertainties in the aerial …
Federated Learning on Edge Sensing Devices: A Review
The ability to monitor ambient characteristics, interact with them, and derive information
about the surroundings has been made possible by the rapid proliferation of edge sensing …
about the surroundings has been made possible by the rapid proliferation of edge sensing …
Over-the-Air Federated Learning and Optimization
Federated learning (FL), as an emerging distributed machine learning paradigm, allows a
mass of edge devices to collaboratively train a global model while preserving privacy. In this …
mass of edge devices to collaboratively train a global model while preserving privacy. In this …
MR-FFL: A Stratified Community-Based Mutual Reliability Framework for Fairness-Aware Federated Learning in Heterogeneous UAV Networks
Fairness-aware federated learning (FFL) plays a crucial role in mitigating bias against
specific demographic groups (eg, gender, race, occupation) during collaborative training …
specific demographic groups (eg, gender, race, occupation) during collaborative training …
Energy-Efficient Dynamic Device Scheduling for Over-the-Air Federated Learning in UAV Swarms
Recent years have envisioned the widespread adoption of machine learning (ML) in
unmanned aerial vehicle (UAV) swarms for task execution. However, it is hard for the …
unmanned aerial vehicle (UAV) swarms for task execution. However, it is hard for the …
Mitigating the Communication Straggler Effect in Federated Learning via Named Data Networking
Federated learning (FL) has emerged as a prominent solution that enables distributed
training of machine learning (ML) models at multiple end-devices with their own data …
training of machine learning (ML) models at multiple end-devices with their own data …
Energy-Efficient UAV-Assisted Federated Learning in Wireless Networks
Z Fu, J Liu, Y Mao, L Xie - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
With the proliferation of smart mobile devices and next-generation wireless communication
technologies, federated learning (FL) has garnered significant attention as an emerging …
technologies, federated learning (FL) has garnered significant attention as an emerging …