Coded computation is an emerging paradigm that introduces redundancy through algebraic coding to accelerate large-scale data processing across distributed infrastructures. By encoding input data or ...

Abstract: Distributed linearly separable computation, where a user asks some distributed servers to compute a linearly separable function, was recently formulated by the same authors and aims to ...

Abstract: Distributed machine learning has attracted significant attention for the future vehicular networks. However, the inadequate computation capacity of multi-vehicles and the dynamic wireless ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.