3 papers
cs.LG2025
MAR-FL: A Communication Efficient Peer-to-Peer Federated Learning System
Felix Mulitze, Herbert Woisetschläger, Hans Arno Jacobsen
The convergence of next-generation wireless systems and distributed Machine Learning (ML) demands Federated Learning (FL) methods that remain efficient and robust with wireless con…
quant-ph2025
Adversarial Robustness in Distributed Quantum Machine Learning
Pouya Kananian, Hans-Arno Jacobsen
Studying adversarial robustness of quantum machine learning (QML) models is essential in order to understand their potential advantages over classical models and build trustworthy…
cs.CE2025
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning
Shivesh Prakash, Nandan Patel, Hans-Arno Jacobsen +1
We introduce MHNpath, a machine learning-driven retrosynthetic tool designed for computer-aided synthesis planning. Leveraging modern Hopfield networks and novel comparative metric…