FedLC-Trans: privacy-preserving CNN–Transformer fusion for resilient IoMT intrusion detection
The present findings demonstrate reduced centralized raw-data exposure and promising computational characteristics, while edge-device validation and stronger privacy-preserving mechanisms remain important directions for future work.
Zhi Gong, Nai-Xue Xiong, Cheng-Lin Zhao et al.
· Frontiers in Public Health · 0 citations