3 papers
cs.LG2026
Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning
Maximilian Andreas Hoefler, Karsten Mueller, Wojciech Samek
One-shot federated learning (OSFL) addresses the communication overhead of federated learning by limiting training to a single round, but doing so without sacrificing model quality…
cs.LG2026
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning
Maximilian Andreas Hoefler, Karsten Mueller, Wojciech Samek
Explainable AI (XAI) methods have demonstrated significant success in recent years at identifying relevant features in input data that drive deep learning model decisions, enhancin…
cs.LG2025
ReReLRP -- Remembering and Recognizing Tasks with LRP
Karolina Bogacka, Maximilian Höfler, Maria Ganzha +2
Deep neural networks have revolutionized numerous research fields and applications. Despite their widespread success, a fundamental limitation known as catastrophic forgetting rema…