4 papers
The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination
Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos Pournaras
The problem of fair multi-agent coordination in decentralized settings is one of the most pressing challenges for building efficient collaborative systems. Resource allocation is b…
Poison to Detect: Detection of Targeted Overfitting in Federated Learning
Soumia Zohra El Mestari, Maciej Krzysztof Zuziak, Gabriele Lenzini
Federated Learning (FL) enables collaborative model training among clients without centralising data, making it a widely adopted privacy-enhancing technology (PET). Despite its pri…
One-Shot Clustering for Federated Learning Under Clustering-Agnostic Assumption
Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Federated Learning (FL) is a widespread and well-adopted paradigm of decentralised learning that allows training one model from multiple sources without the need to transfer data b…
One-Shot Clustering for Federated Learning
Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Federated Learning (FL) is a widespread and well adopted paradigm of decentralized learning that allows training one model from multiple sources without the need to directly transf…