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cs.LG2026
Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
Spiking neural networks (SNNs) are biologically inspired energy-efficient models that use sparse binary spike-based communication between neurons, making them attractive for resour…
cs.LG2026
Time-Varying Deep State Space Models for Sequences with Switching Dynamics
Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale
The identification and modeling of time-varying systems is a fundamental challenge in signal processing and system identification. To address this challenge, we propose a class of…