4 citations · 4 across the 2 of their papers we have counts for
3 papers
Epidemics on Networks
Jan Kreischer, Adrian Iten, Astrid Jehoul
Despite centuries of work on containment and mitigation strategies, infectious diseases are still a major problem facing humanity. This work is concerned with simulating heterogene…
Federated Learning with Differential Privacy
Adrien Banse, Jan Kreischer, Xavier Oliva i Jürgens
Federated learning (FL), as a type of distributed machine learning, is capable of significantly preserving client's private data from being shared among different parties. Neverthe…
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
Chao Feng, Alberto Huertas Celdran, Pedro Miguel Sanchez Sanchez +5
Recent research has shown that the integration of Reinforcement Learning (RL) with Moving Target Defense (MTD) can enhance cybersecurity in Internet-of-Things (IoT) devices. Nevert…