3 papers
cs.LG2026
Sparse Federated Echo State Networks for Time-Series Classification via Smooth-L1 Regularization
Gengcheng Lyu, Manuel Röder, Frank-Michael Schleif
Echo State Networks (ESNs), as lightweight implementations of reservoir computing, provide efficient solutions for temporal data processing in resource-constrained environments. Wh…
cs.LG2026
Federated Attack Campaign Detection via Contrastive Encoding of Threat Indicators in Gradient Updates
Manuel Röder, Bibin Babu, Frank-Michael Schleif
Detecting orchestrated cyberattack campaigns that span multiple organizations traditionally requires sharing sensitive telemetry and threat intelligence across institutional bounda…
cs.LG2023
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Manuel Röder, Leon Heller, Maximilian Münch +1
With the advent of interconnected and sensor-equipped edge devices, Federated Learning (FL) has gained significant attention, enabling decentralized learning while maintaining data…