46 citations · 46 across the 2 of their papers we have counts for
3 papers
Momentum-Guided Federated Split Distillation for Personalized Temporal Edge Intelligence
Ahmed-Rafik Baahmed, Jean-François Dollinger, Amine Brahmia +1
We propose a momentum-guided federated split distillation framework for personalized, efficient, and autonomous temporal edge intelligence. We introduce TeRR-SAtt, our novel tempor…
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
Meriem Arbaoui, Mohamed-el-Amine Brahmia, Abdellatif Rahmoun +1
The integration of IoT and AI has unlocked innovation across industries, but growing privacy concerns and data isolation hinder progress. Traditional centralized ML struggles to ov…
Double-Layer Soft Data Fusion for Indoor Robot WiFi-Visual Localization
Yuehua Ding, Jean-Francois Dollinger, Vincent Vauchey +1
This paper presents a novel WiFi-Visual data fusion method for indoor robot (TIAGO++) localization. This method can use 10 WiFi samples and 4 low-resolution images (…