2 papers
cs.IT2026
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
Jierui Zhang, Jianhao Huang, Kaibin Huang
\emph{Integrated communication and computation} (IC) has emerged as a new paradigm for enabling efficient edge inference in sixth-generation (6G) networks. However, the design…
cs.LG2025
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
Jierui Zhang, Jianhao Huang, Kaibin Huang
Federated learning (FL) has emerged as a widely adopted paradigm for enabling edge learning with distributed data while ensuring data privacy. However, the traditional FL with deep…