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Amine Barrak
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2020 – today
- 2024
- [c10]Amine Barrak:
The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training. AAAI 2024: 23383-23384 - [c9]Amine Barrak:
Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract). AAAI 2024: 23439-23440 - [c8]Amine Barrak, Gildas Fofe, Léo Mackowiak, Emmanuel Kouam, Fehmi Jaafar:
Securing AWS Lambda: Advanced Strategies and Best Practices. CSCloud 2024: 113-119 - 2023
- [c7]Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. IC2E 2023: 141-152 - [c6]Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. QRS 2023: 650-661 - [i4]Amine Barrak, Fábio Petrillo, Fehmi Jaafar:
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance. CoRR abs/2302.13995 (2023) - [i3]Amine Barrak, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning. CoRR abs/2309.14139 (2023) - [i2]Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo:
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. CoRR abs/2309.14148 (2023) - 2022
- [j2]Amine Barrak, Fábio Petrillo, Fehmi Jaafar:
Serverless on Machine Learning: A Systematic Mapping Study. IEEE Access 10: 99337-99352 (2022) - [c5]Hugo Bourreau, Emeric Guichet, Amine Barrak, Benoît Simon, Fehmi Jaafar:
On Securing the Communication in IoT Infrastructure using Elliptic Curve Cryptography. QRS Companion 2022: 758-759 - [i1]Amine Barrak, Bram Adams, Amal Zouaq:
Toward a traceable, explainable, and fairJD/Resume recommendation system. CoRR abs/2202.08960 (2022) - 2021
- [j1]Amine Barrak, Ellis E. Eghan, Bram Adams, Foutse Khomh:
Why do builds fail? - A conceptual replication study. J. Syst. Softw. 177: 110939 (2021) - [c4]Fehmi Jaafar, Darine Ameyed, Amine Barrak, Mohamed Cheriet:
Identification of Compromised IoT Devices: Combined Approach Based on Energy Consumption and Network Traffic Analysis. QRS 2021: 514-523 - [c3]Amine Barrak, Ellis E. Eghan, Bram Adams:
On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects. SANER 2021: 422-433
2010 – 2019
- 2018
- [c2]Amine Barrak, Marc-André Laverdière, Foutse Khomh, Le An, Ettore Merlo:
Just-in-time detection of protection-impacting changes on WordPress and MediaWiki. CASCON 2018: 178-188 - [c1]Naoures Ghrairi, Segla Kpodjedo, Amine Barrak, Fábio Petrillo, Foutse Khomh:
The State of Practice on Virtual Reality (VR) Applications: An Exploratory Study on Github and Stack Overflow. QRS 2018: 356-366
Coauthor Index
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