Spring 2024
Enhancing Fairness in Decentralized Learning with Clustering-based Personalization of Models
Author: Thibaud Trinca, Supervisors: Sayan Biswas, Martijn de Vos, Rishi Sharma
A Comparative Evaluation of Decentralized Learning Algorithms using Realistic Real-world Traces
Author: Lubor Budaj, Supervisors: Sayan Biswas, Martijn de Vos, Rishi Sharma
Enhancing Fairness in Decentralized Learning with Clustering-based Personalization of Models
Author: Thibaud Trinca, Supervisors: Sayan Biswas, Martijn de Vos, Rishi Sharma
Fall 2023
Studying partially-centralized distributed learning
Author: Mathis Randl, Supervisors: Akash Dhasade, Martijn de Vos, Rafael Pires, Rishi Sharma
Spring 2023
Privacy Preserving KNN Graph Contruction
Author: Mohamed Yassine Boukhari, Supervisors: Rafael Pires, Rishi Sharma
Unki: A restaurant recommender system for individuals, groups and diversity
Author: Alexandre Reis de Matos, Supervisor: Anne-Marie Kermarrec
On the Efficiency of Sharing Distilled Data in Federated Learning
Author: Pascal Epple, Supervisors: Akash Dhasade, Rafael Pires
UDP Communication Protocol for Decentralized Learning
Author: Emna Fendri, Supervisors: Rafael Pires, Rishi Sharma
Improving Collaborative Inference: Adversarial and Ensemble Learning Approaches in Distributed Machine Learning
Author: Selim Mouaffak, Supervisors: Akash Dhasade, Rafael Pires