432 citations · 437 across the 8 of their papers we have counts for
4 papers · 1 filter
FedFly: Towards Migration in Edge-based Distributed Federated Learning
Rehmat Ullah, Di Wu, Paul Harvey +3
Federated learning (FL) is a privacy-preserving distributed machine learning technique that trains models while keeping all the original data generated on devices locally. Since de…
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu, Rehmat Ullah, Paul Harvey +3
Applying Federated Learning (FL) on Internet-of-Things devices is necessitated by the large volumes of data they produce and growing concerns of data privacy. However, there are th…
Information-Centric Networking in Wireless Environments: Security Risks and Challenges
Boubakr Nour, Spyridon Mastorakis, Rehmat Ullah +1
Information-Centric Networking (ICN) has emerged as a paradigm to cope with the lack of built-in security primitives and efficient mechanisms for content distribution of today's In…
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Andrew Churcher, Rehmat Ullah, Jawad Ahmad +6
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT…