Fall 2024
Machine Learning for Page Prefetching
Author: Victor Garvalov, Supervisors: Martijn de Vos, Rafael Pires
Simultaneous fine-tuning of multiple LoRA adapters
Author: Anton Balykov, Supervisors: Milos Vujasinovic, Martijn de Vos, Akash Dhasade, Rishi Sharma
DiLoCo-SWARM
Author: Mika Senghaas, Supervisors: Martijn de Vos, Akash Dhasade, Rishi Sharma
Optimizing End-to-End Inference Time on MoE models
Author: André Espírito Santo, Supervisors: Milos Vujasinovic, Martijn de Vos, Rafael Pires
Effects of Pre-Training on One-Shot Federated Learning
Author: Alexis Lomozin, Supervisors: Akash Dhasade, Mathis Randl
Spring 2024
Do Opposites Attract? Optimizing Decentralized Learning: Enhancing Node Performance through Model Distance in Non-IID Settings
Author: Hugo Lanfranchi, Supervisors: Sayan Biswas, Martijn de Vos
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
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