📚 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]
🧾 Peer-reviewed Journal Papers
Federated Learning for Collaborative Inference Systems: The Case of Early Exit Networks
C. Xu, C. Kaplan, A. Rodio, T. Si Salem, G. Neglia
Performance Evaluation, 2026
🔖 [Perform. Eval.'26]
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
IEEE Journal on Selected Areas in Communications, 2026
🔖 [IEEE JSAC'26]
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
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
L. Fechete, M. Sana, F. Ayed, N. Piovesan, W. Li, A. De Domenico, T. Si Salem
AAAI Conference on Artificial Intelligence, Singapore, 2026.
🔖 [AAAI'26]
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]