INSA Lyon

schoolSchoolbar_chart#1268 Global Rank

Total Papers

HCI Rank

#1268

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Years Active

Recent Publications

Bias Mitigation in Federated Learning for Edge Computing

Djebrouni 等人研究联邦学习在边缘计算场景中的公平性问题，提出偏差缓解方法以提升模型对各类边缘设备的适应性。

UBICOMP '23Explainable AI (XAI) +1

Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks

"Federated Learning (FL) allows several data owners to train a joint model without sharing their training data. Such a paradigm is useful for better privacy in many ubiquitous computing systems. However, FL is vulnerable to poisoning attacks, where malicious participants attempt to inject a backdoor task in the model…

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At a Glance

Institution Snapshot

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INSA Lyon

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Location

France · Europe

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Overall Rank

#1268

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Total Papers

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Active Years

2023-2024

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Network

3 researchers · 0 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

Explainable AI (XAI)

Ethics, Fairness, Social Justice & Inclusion

Algorithmic Fairness & Bias

Research Methods & Design Practice

Computational Methods in HCI