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J\'er\'emie Decouchant — most-cited papers & profile · Federated Learning
← authors
·
overview
J\'er\'emie Decouchant
13
papers ·
28
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
AGIC: Approximate Gradient Inversion Attack on Federated Learning
2022 · 21 citations
Asynchronous Byzantine Federated Learning
2024 · 2 citations
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
2022 · 1 citations
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
2022 · 1 citations
Parameterizing Federated Continual Learning for Reproducible Research
2024 · 1 citations
Training Diffusion Models with Federated Learning
2024 · 1 citations
Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models
2025
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
2024
Aergia: Leveraging Heterogeneity in Federated Learning Systems
2022
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients
2024
Top co-authors
Lydia Y. Chen
· 8
Bart Cox
· 5
Aditya Shankar
· 2
Abele M\u{a}lan
· 1
Bart Cox
· 1
Chi Hong
· 1
Dimitra Gkorou
· 1
Federico Lucchetti
· 1
Huanhuan Chen
· 1
Jeroen Galjaard
· 1
Jin Xu
· 1
Jiyue Huang
· 1
Topics
Federated Learning
Privacy
Data Heterogeneity
Optimization