📚 Publications — Tareq Si Salem
🎓 Ph.D. Thesis
Online Learning for Network Resource Allocation
Tareq Si Salem.
Defended at Inria Sophia-Antipolis on October 17th, 2022.
Supervisor: Giovanni Neglia, Inria Sophia-Antipolis, France
Reviewers:
- Douglas Leith, Trinity College Dublin, Ireland
- Leandros Tassiulas, Yale University, USA
Examiners:
- Edmund Yeh, Northeastern University, USA
- György Dán, KTH Royal Institute of Technology, Sweden
- Walid Debbous, Inria Sophia-Antipolis, France
🔖 [PhD'22]
🧠 Preprints / Under Review
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
L. Fechete, M. Sana, F. Ayed, N. Piovesan, W. Li, A. De Domenico, T. Si Salem
arXiv Preprint
🔖 [arXiv'25]
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing
A. Bornea, F. Ayed, A. De Domenico, N. Piovesan, T. Si Salem, A. Maatouk
arXiv Preprint
🔖 [arXiv'25]
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
C. Kaplan, A. Rodio, T. Si Salem, C. Xu, G. Neglia
arXiv Preprint
🔖 [arXiv'25]
🧾 Peer-reviewed Journal Papers
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
T. Si Salem, G. Castellano, G. Neglia, F. Pianese, A. Araldo
IEEE/ACM Transactions on Networking, 2023
🔖 [ToN'23]
No-Regret Caching via Online Mirror Descent
T. Si Salem, G. Neglia, S. Ioannidis
ACM ToMPECS, 2023
🔖 [ToMPECS'23]
Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si Salem, G. Iosifidis, G. Neglia
ACM POMACS, 2022
🔖 [POMACS'22]
Ascent Similarity Caching with Approximate Indexes
T. Si Salem, G. Neglia, D. Carra
IEEE/ACM Transactions on Networking, 2022
🔖 [ToN'22]
GRADES: Gradient Descent for Similarity Caching
A. Sabnis, T. Si Salem, G. Neglia, M. Garetto, E. Leonardi, R. Sitaraman
IEEE/ACM Transactions on Networking, 2022
🔖 [ToN'22]
Online Caching Networks with Adversarial Guarantees
Y. Li, T. Si Salem, G. Neglia, S. Ioannidis
ACM POMACS, 2021
🔖 [POMACS'21]
🧩 Peer-reviewed Conference Papers
Adaptive Transductive Inference via Sequential Experimental Design with Contextual Retention
T. Si Salem.
NeurIPS BDU, Vancouver, Canada, 2024
🔖 [NeurIPS'24]
Online Submodular Maximization via Online Convex Optimization
T. Si Salem, G. Özcan, I. Nikolaou, E. Terzi, S. Ioannidis
AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2024
🔖 [AAAI'24]
Enabling Long-term Fairness in Dynamic Resource Allocation
T. Si Salem, G. Iosifidis, G. Neglia
ACM SIGMETRICS, Orlando, USA, 2023
🔖 [SIGMETRICS'23]
Online Caching Networks with Adversarial Guarantees
Y. Li, T. Si Salem, G. Neglia, S. Ioannidis
ACM SIGMETRICS, Mumbai, India, 2022
🔖 [SIGMETRICS'22]
AÇAI: Ascent Similarity Caching with Approximate Indexes 🏆 Best Paper Award
T. Si Salem, G. Neglia, D. Carra
International Teletraffic Congress (ITC 33), 2021
🔖 [ITC'21]
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
T. Si Salem, G. Castellano, G. Neglia, F. Pianese, A. Araldo
MedComNet, 2021
🔖 [MedComNet'21]
No-Regret Caching via Online Mirror Descent
T. Si Salem, G. Neglia, S. Ioannidis
IEEE ICC, 2021
🔖 [ICC'21]
GRADES: Gradient Descent for Similarity Caching
A. Sabnis, T. Si Salem, G. Neglia, M. Garetto, E. Leonardi, R. Sitaraman
IEEE INFOCOM, 2021
🔖 [INFOCOM'21]