Yueyue Dai

TL;DR: This article designs a blockchain empowered secure data sharing architecture for distributed multiple parties, and incorporates privacy-preserved federated learning in the consensus process of permissioned blockchain, so that the computing work for consensus can also be used for federated training.

TL;DR: A secure and intelligent architecture for next-generation wireless networks is proposed by integrating AI and blockchain into wireless networks to enable flexible and secure resource sharing and a new caching scheme is developed by utilizing deep reinforcement learning.

TL;DR: This paper proposes a novel two-tier computation offloading framework in heterogeneous networks, and formulates joint computation off loading and user association problem for multi-task mobile edge computing system to minimize overall energy consumption.

TL;DR: This article incorporates local differential privacy into federated learning for protecting the privacy of updated local models and proposes a random distributed update scheme to get rid of the security threats led by a centralized curator.

TL;DR: This paper formulate the joint load balancing and offloading problem as a mixed integer nonlinear programming problem to maximize system utility and develop a low-complexity algorithm to jointly make VEC server selection, and optimize offloading ratio and computation resource.