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Books and Theses
- 2018
[b1]Vlad Nitu:
Improving energy efficiency of virtualized datacenters. (Améliorer l'efficacité énergétique des datacenters virtualisés). National Polytechnic Institute of Toulouse, France, 2018
Journal Articles
- 2022
- [j6]Yacine Belal
, Aurélien Bellet, Sonia Ben Mokhtar, Vlad Nitu:
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 101:1-101:27 (2022) - [j5]Fatima Elhattab, Sara Bouchenak, Rania Talbi, Vlad Nitu:
Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 162:1-162:27 (2022) - [j4]Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, François Taïani:
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. ACM Trans. Intell. Syst. Technol. 13(5): 79:1-79:30 (2022) - 2021
- [j3]Besma Khalfoun, Sonia Ben Mokhtar, Sara Bouchenak, Vlad Nitu:
EDEN: Enforcing Location Privacy through Re-identification Risk Assessment: A Federated Learning Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 68:1-68:25 (2021) - 2018
- [j2]Vlad Nitu, Aram Kocharyan, Hannas Yaya, Alain Tchana, Daniel Hagimont, Hrachya V. Astsatryan:
Working Set Size Estimation Techniques in Virtualized Environments: One Size Does not Fit All. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 19:1-19:22 (2018) - 2017
- [j1]Vlad Nitu, Boris Teabe, Leon Fopa, Alain Tchana, Daniel Hagimont:
StopGap: elastic VMs to enhance server consolidation. Softw. Pract. Exp. 47(11): 1501-1519 (2017)
Conference and Workshop Papers
- 2022
- [c11]Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni:
Shielding federated learning systems against inference attacks with ARM TrustZone. Middleware 2022: 335-348 - 2021
- [c10]Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni:
GradSec: a TEE-based Scheme Against Federated Learning Inference Attacks. ResilientFL 2021: 10-12 - 2020
- [c9]Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, François Taïani:
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. Middleware 2020: 163-177 - [c8]Yuxin Ren, Guyue Liu, Vlad Nitu, Wenyuan Shao, Riley Kennedy, Gabriel Parmer, Timothy Wood, Alain Tchana:
Fine-Grained Isolation for Scalable, Dynamic, Multi-tenant Edge Clouds. USENIX ATC 2020: 927-942 - 2018
- [c7]Vlad Nitu, Boris Teabe, Alain Tchana, Canturk Isci, Daniel Hagimont:
Welcome to zombieland: practical and energy-efficient memory disaggregation in a datacenter. EuroSys 2018: 16:1-16:12 - [c6]Vlad Nitu, Aram Kocharyan, Hannas Yaya, Alain Tchana, Daniel Hagimont, Hrachya V. Astsatryan:
Working Set Size Estimation Techniques in Virtualized Environments: One Size Does not Fit All. SIGMETRICS (Abstracts) 2018: 62-63 - 2017
- [c5]Boris Teabe, Vlad Nitu, Alain Tchana, Daniel Hagimont:
The lock holder and the lock waiter pre-emption problems: nip them in the bud using informed spinlocks (I-Spinlock). EuroSys 2017: 286-297 - [c4]Katia Jaffrès-Runser, Gentian Jakllari, Tao Peng, Vlad Nitu:
Crowdsensing mobile content and context data: Lessons learned in the wild. PerCom Workshops 2017: 311-315 - [c3]Vlad Nitu, Boris Teabe, Leon Fopa, Alain Tchana, Daniel Hagimont:
StopGap: elastic VMs to enhance server consolidation. SAC 2017: 358-363 - [c2]Vlad Nitu, Pierre Olivier, Alain Tchana, Daniel Chiba, Antonio Barbalace, Daniel Hagimont, Binoy Ravindran:
Swift Birth and Quick Death: Enabling Fast Parallel Guest Boot and Destruction in the Xen Hypervisor. VEE 2017: 1-14 - 2016
- [c1]Alain Tchana, Vo Quoc Bao Bui, Boris Teabe, Vlad Nitu, Daniel Hagimont:
Mitigating performance unpredictability in the IaaS using the Kyoto principle. Middleware 2016: 6
Informal and Other Publications
- 2022
- [i5]Yacine Belal, Aurélien Bellet, Sonia Ben Mokhtar, Vlad Nitu:
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning. CoRR abs/2208.05320 (2022) - [i4]Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni:
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. CoRR abs/2208.05895 (2022) - 2021
- [i3]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, Vlad Nitu, Chris Vossen, Sébastien Rouault, El-Mahdi El-Mhamdi:
Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments. CoRR abs/2107.07334 (2021) - 2020
- [i2]Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, François Taïani:
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. CoRR abs/2006.07273 (2020) - 2019
- [i1]Yuxin Ren, Vlad Nitu, Guyue Liu, Gabriel Parmer, Timothy Wood, Alain Tchana, Riley Kennedy:
Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS. CoRR abs/1901.01222 (2019)
Coauthor Index
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