معرفی
Jérémie Decouchant is a researcher at Delft University of Technology, affiliated with the School of Electrical Engineering, Mathematics and Computer Science under the Data-Intensive Systems department. His work focuses on privacy-preserving technologies, blockchain consensus, and Byzantine fault tolerance.
Research interests span federated learning, decentralized systems, blockchain security, and genomic data privacy. Key topics include mitigating malicious majorities in federated learning, optimizing trust models, and addressing network-level vulnerabilities.
Recent publications highlight 2025 advancements in Byzantine-robust clustering (MUDGUARD), privacy attacks on chunked models, and reputation-weighted payment networks. Earlier works (2024) explore streamlined blockchain consensus, asynchronous learning architectures, and Fog-IoT resource orchestration (LIGHT-HIDRA).
Collaborations include projects on confidential Bayesian networks (CCBNet), diffusion model training, and real-time Byzantine resilience protocols. No explicit information on advisees, awards, or grants is provided in the dataset.
