19 citations · 32 across the 6 of their papers we have counts for
6 papers
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture
Amine Barrak, Mayssa Jaziri, Ranim Trabelsi +2
The advent of serverless computing has ushered in notable advancements in distributed machine learning, particularly within parameter server-based architectures. Yet, the integrati…
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning
Amine Barrak, Ranim Trabelsi, Fehmi Jaafar +1
The increasing demand for computational power in big data and machine learning has driven the development of distributed training methodologies. Among these, peer-to-peer (P2P) net…
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance
Amine Barrak, Fabio Petrillo, Fehmi Jaafar
Distributed Machine Learning refers to the practice of training a model on multiple computers or devices that can be called nodes. Additionally, serverless computing is a new parad…
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness
Zeinab, Kermansaravi, Md Saidur Rahman +3
During software evolution, inexperienced developers may introduce design anti-patterns when they modify their software systems to fix bugs or to add new functionalities based on ch…
Internet of Things Architectures: A Comparative Study
Marcela G. dos Santos, Darine Ameyed, Fabio Petrillo +2
Over the past two decades, the Internet of Things (IoT) has become an underlying concept to a variety of solutions and technologies that it is now hardly possible to enumerate and…
A Slow Read attack Using Cloud
Darine Ameyed, Fehmi Jaafar, Jaouhar Fattahi
Cloud computing relies on sharing computing resources rather than having local servers or personal devices to handle applications. Nowadays, cloud computing has become one of the f…