SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT
Ali-Pour, A. and Gascon-Samson, J., 2025. SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT. arXiv preprint arXiv:2503.13624.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT
Ali-Pour, A. and Gascon-Samson, J., 2024, July. PECMQ: Private and Encrypted Communications in IoT Systems Using PUFs and MQTT. In 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW) (pp. 64-74). IEEE.
Leakage Model-flexible Deep Learning-based Side-channel Analysis
Wu, L., Rezaeezade, A., Ali-pour, A., Perin, G. and Picek, S., 2024. Leakage Model-flexible Deep Learning-based Side-channel Analysis.
MQTT2EdgePeer: A robust and scalable brokerless peer-to-peer edge middleware for topic-based publish/subscribe
Rahmani, S., Ali-Pour, A., Coti, C. and Gascon-Samson, J., 2024, May. MQTT2EdgePeer: A robust and scalable brokerless peer-to-peer edge middleware for topic-based publish/subscribe. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 419-424). IEEE.
Secure puf-based authentication and key exchange protocol using machine learning
Ali-Pour, A., Afghah, F., Hely, D., Beroulle, V. and Di Natale, G., 2022, July. Secure puf-based authentication and key exchange protocol using machine learning. In 2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 386-389). IEEE.
Strong puf enrollment with machine learning: A methodical approach
Ali-Pour, A., Hely, D., Beroulle, V. and Di Natale, G., 2022. Strong puf enrollment with machine learning: A methodical approach. Electronics, 11(4), p.653.
Helper Data Masking for Physically Unclonable Function-Based Key Generation Algorithms
Pour, A.A., Afghah, F., Hely, D., Beroulle, V., Di Natale, G., Korenda, A.R. and Cambou, B., 2022. Helper data masking for physically unclonable function-based key generation algorithms. IEEE Access, 10, pp.40150-40164.
On the performance of non-profiled differential deep learning attacks against an AES encryption algorithm protected using a correlated noise generation based hiding countermeasure
Alipour, A., Papadimitriou, A., Beroulle, V., Aerabi, E. and Hély, D., 2020, March. On the performance of non-profiled differential deep learning attacks against an AES encryption algorithm protected using a correlated noise generation based hiding countermeasure. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 614-617). IEEE.
Talks
IPDPS 2025, PAISE Workshop: Presenting SDFLMQ
Workshop at PAISE, IPDPS 2025, Politecnico di Milano, Milan, Italy
A Lecture on Federated Learning systems and frameworks.
Lecture at Ecole de Technologie Superieure (ETS), Montreal, Quebec, Canada
Teaching
Service and leadership
- Currently signed in to 43 different slack teams