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eess.SP2025
Quantize-Sample-and-Verify: LLM Acceleration via Adaptive Edge-Cloud Speculative Decoding
Guangyi Zhang, Yunlong Cai, Guanding Yu +2
In edge-cloud speculative decoding (SD), edge devices equipped with small language models (SLMs) generate draft tokens that are verified by large language models (LLMs) in the clou…
eess.SP2025
Calibrating Wireless AI via Meta-Learned Context-Dependent Conformal Prediction
Seonghoon Yoo, Sangwoo Park, Petar Popovski +2
Modern software-defined networks, such as Open Radio Access Network (O-RAN) systems, rely on artificial intelligence (AI)-powered applications running on controllers interfaced wit…