Zheng Yan

TL;DR: PFK-means is based on two privacy-preserving techniques, federated learning and secret sharing, and outperforms other existing related schemes for proactive caching in the next generation cellular networks.

TL;DR: This work proposes a novel IM technique, called interference steering (IS), which generates a signal to modify the spatial feature of the original interference, so that the steered interference at the interfered receiver is orthogonal to its intended signal.

TL;DR: A workflow of trust prediction using machine learning is presented and current available trust-related datasets, classifiers and different metrics used to evaluate a trained classifier are summarized for the purpose of identifying open issues and directing future research.

TL;DR: In this paper, the authors proposed a two-stage EV charging coordination mechanism that frees the distribution system operator (DSO) from extra burdens of EV charging coordinating, and a decentralized algorithm based on the alternating direction method of multipliers (ADMM) is proposed to protect individual privacy.

TL;DR: Performance analysis and evaluation prove that the proposed anonymous authentication scheme for authenticating both pseudonyms and trust levels to support trustworthy PSN with privacy preservation is effective with regard to privacy preservation, computation complexity, communication cost, flexibility, reliability, and scalability.