19 citations · 23 across the 5 of their papers we have counts for
5 papers
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
Ervin Moore, Ahmed Imteaj, Md Zarif Hossain +2
Federated Learning (FL) is a privacy-preserving distributed machine learning scheme, where each participant data remains on the participating devices and only the local model gener…
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing
Ervin Moore, Ahmed Imteaj, Shabnam Rezapour +1
Federated Learning (FL) has gained widespread popularity in recent years due to the fast booming of advanced machine learning and artificial intelligence along with emerging securi…
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj, M. Hadi Amini
Smartphones, autonomous vehicles, and the Internet-of-things (IoT) devices are considered the primary data source for a distributed network. Due to a revolutionary breakthrough in…
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang +2
Nowadays, devices are equipped with advanced sensors with higher processing/computing capabilities. Further, widespread Internet availability enables communication among sensing de…
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks
Ahmed Imteaj, M. Hadi Amini, Javad Mohammadi
This paper reintroduces the notion of resilience in the context of recent issues originated from climate change triggered events including severe hurricanes and wildfires. A recent…