Mitigating performance unpredictability in the IaaS using the Kyoto principle. - Alain Tchana; Vo Quoc Bao Bui; Boris Teabe; Vlad Nitu; Daniel Hagimont (Middleware, 2016)

The lock holder and the lock waiter pre-emption problems: nip them in the bud using informed spinlocks (I-Spinlock). - Boris Teabe; Vlad Nitu; Alain Tchana; Daniel Hagimont (EuroSys, 2017)

Crowdsensing mobile content and context data: Lessons learned in the wild. - Katia Jaffrès-Runser; Gentian Jakllari; Tao Peng; Vlad Nitu (PerCom Workshops, 2017)

Swift Birth and Quick Death: Enabling Fast Parallel Guest Boot and Destruction in the Xen Hypervisor. - Vlad Nitu; Pierre Olivier; Alain Tchana; Daniel Chiba; Antonio Barbalace; Daniel Hagimont; Binoy Ravindran (VEE, 2017)

StopGap: elastic VMs to enhance server consolidation. - Vlad Nitu; Boris Teabe; Leon Fopa; Alain Tchana; Daniel Hagimont (Softw. Pract. Exp., 2017)

Welcome to zombieland: practical and energy-efficient memory disaggregation in a datacenter. - Vlad Nitu; Boris Teabe; Alain Tchana; Canturk Isci; Daniel Hagimont (EuroSys, 2018)

Working Set Size Estimation Techniques in Virtualized Environments: One Size Does not Fit All. - Vlad Nitu; Aram Kocharyan; Hannas Yaya; Alain Tchana; Daniel Hagimont; Hrachya V. Astsatryan (Proc. ACM Meas. Anal. Comput. Syst., 2018)

Improving energy efficiency of virtualized datacenters. (Améliorer l'efficacité énergétique des datacenters virtualisés). - Vlad Nitu (2018)

Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS. - Yuxin Ren 001; Vlad Nitu; Guyue Liu; Gabriel Parmer; Timothy Wood 001; Alain Tchana; Riley Kennedy (CoRR, 2019)

Fine-Grained Isolation for Scalable, Dynamic, Multi-tenant Edge Clouds. - Yuxin Ren 001; Guyue Liu; Vlad Nitu; Wenyuan Shao; Riley Kennedy; Gabriel Parmer; Timothy Wood 001; Alain Tchana (USENIX ATC, 2020)

GradSec: a TEE-based Scheme Against Federated Learning Inference Attacks. - Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni (ResilientFL, 2021)

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. - Lê-Nguyên Hoang; Louis Faucon; Aidan Jungo; Sergei Volodin; Dalia Papuc; Orfeas Liossatos; Ben Crulis; Mariame Tighanimine; Isabela Constantin; Anastasiia Kucherenko; Alexandre Maurer; Felix Grimberg; et al. (CoRR, 2021)

EDEN: Enforcing Location Privacy through Re-identification Risk Assessment: A Federated Learning Approach. - Besma Khalfoun; Sonia Ben Mokhtar; Sara Bouchenak; Vlad Nitu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Shielding federated learning systems against inference attacks with ARM TrustZone. - Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni (Middleware, 2022)

PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning. - Yacine Belal; Aurélien Bellet; Sonia Ben Mokhtar; Vlad Nitu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks. - Fatima Elhattab; Sara Bouchenak; Rania Talbi; Vlad Nitu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. - Georgios Damaskinos; Rachid Guerraoui; Anne-Marie Kermarrec; Vlad Nitu; Rhicheek Patra; François Taïani (ACM Trans. Intell. Syst. Technol., 2022)