Research archive

Publications.

Peer-reviewed research in machine learning, optimization, networking, and time-series forecasting.

Ph.D. Thesis

Online Learning for Network Resource Allocation

Tareq Si Salem · Ph.D. in Computer Science, Université Côte d’Azur [PhD'22]

Defended at Inria Sophia-Antipolis on October 17th, 2022.

Supervisor

G. NegliaInria Sophia-Antipolis, France

Reviewers

D. LeithTrinity College Dublin, Ireland
L. TassiulasYale University, USA

Examiners

E. YehNortheastern University, USA
G. DánKTH Royal Institute of Technology, Sweden
W. DebbousInria Sophia-Antipolis, France

Read thesis ↗Defense slides ↗

Peer-reviewed Conference Papers

Bandits in Flux: Dynamic Regret under Adversarial Constraints

T. Si Salem

International Conference on Artificial Intelligence and Statistics (AISTATS), 2026 (A, 28% AR).

[AISTATS'26]

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]

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]