Federated few-shot learning on neuromorphic hardware using FedUnion strategy achieves 77.0% accuracy.

Steven Motta, Gioele Nanni

Proposed an SRAM-based CIM accelerator optimizing linear-decay SNNs, achieving 15.9 to 69 times energy efficiency improvement.

Hongyang Shang, Shuai Dong, Yahan Yang et al.

Stable Spike achieves dual consistency optimization via bitwise AND operations, enhancing SNN recognition performance under ultra-low latency by up to 8.33%.

Yongqi Ding, Kunshan Yang, Linze Li et al.

This paper presents an event-driven E-Skin system with dynamic binary scanning and real-time SNN classification, achieving a 12.8x scan reduction and 92.11% accuracy.

Gaishan Li, Zhengnan Fu, Anubhab Tripathi et al.

Introduced NEMO-DE and NEEF-DE evolutionary frameworks for near-field multi-source localization, avoiding grid mismatch errors.

Seyed Jalaleddin Mousavirad, Parisa Ramezani, Mattias O'Nils et al.