3 accepted papers
In this paper, we study the problem of aggregating heterogeneous models with low-complexity consideration in federated learning (FL). A green heterogeneous federated learning (GHFL) system, the marriage of the green learning (GL) methodology and FL, is proposed to simultaneously account for model he…
In this paper, we study the problem of blind spectrum sensing by exploring signal sampling at each cognitive radio (CR) in a distributed cognitive radio network. Specifically, a new cooperative sampling scheme is proposed to deal with the challenge of unknown signal-to-noise ratio and level of noise…
The joint design of content caching and user clustering (JCC) in cache-enabled heterogeneous networks is challenging, due to various unknown, possibly time-varying, system parameters which potentially give rise to various design tradeoffs in practice. This paper presents the first study that investi…