Jérémie Decouchant

Fingerprint

Dive into the research topics where Jérémie Decouchant is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

27 Conference contribution
6 Article
2 Patent
1 Chapter
More
- 1 Other contribution
- 1 Preprint

Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling
Kažemaks, D., Versluis, L., Ozkan, B. K. & Decouchant, J., 2026, SoCC 2025 - Proceedings of the 2025 ACM Symposium on Cloud Computing. New York, NY, USA: Association for Computing Machinery (ACM), p. 867-880 14 p. (SoCC 2025 - Proceedings of the 2025 ACM Symposium on Cloud Computing).
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
CCBNet: Confidential Collaborative Bayesian Networks Inference
Mălan, A., Guzella, T., Decouchant, J. & Chen, L., 2026, Financial Cryptography and Data Security - 29th International Conference, FC 2025, Revised Selected Papers. Garman, C. & Moreno-Sanchez, P. (eds.). Cham: Springer, p. 383-400 18 p. (Lecture Notes in Computer Science; vol. 15752 LNCS).
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Byzantine-Resilient Federated Computation of Differentially Private Summary Statistics
Segalini, G., Fernandes, M. & Decouchant, J., 2025, Middleware 2025 - Proceedings of the 26th ACM International Middleware Conference. New York, NY: Association for Computing Machinery (ACM), p. 72-85 14 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
Confidentiality-preserving collaborative model for deriving information on a production system
Chen, Y., Decouchant, J. & Mălan, A. M., 2025, IPC No. G06N, Priority date 10 Oct 2023, Priority No. WO 2025040341 A1
Research output: Patent
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering
Wang, R., Wang, X., Chen, H., Decouchant, J., Picek, S., Laoutaris, N. & Liang, K., 2025, SIGMETRICS '25: Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems. New York, NY: Association for Computing Machinery (ACM), p. 25-27 3 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
1 Downloads (Pure)

Jérémie Decouchant

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling

CCBNet: Confidential Collaborative Bayesian Networks Inference

Byzantine-Resilient Federated Computation of Differentially Private Summary Statistics

Confidentiality-preserving collaborative model for deriving information on a production system

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering

Jérémie Decouchant

Fingerprint

Collaborations and top research areas from the last five years

Research output

Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling

CCBNet: Confidential Collaborative Bayesian Networks Inference

Byzantine-Resilient Federated Computation of Differentially Private Summary Statistics

Confidentiality-preserving collaborative model for deriving information on a production system

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-preserving Byzantine-robust Clustering