IEEE

Optimized Task Offloading in Multi-Domain IoT Networks Using Distributed Deep Reinforcement Learning in Edge Computing Environments

Abstract: In the Internet of Things (IoT) networks, sensors, gateways, and services interoperate at different levels to provide services to the end users. IoT networks are deployed in different ...
IEEE

Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach

Abstract: Federated multi-task learning (FMTL) is a promising technology to tackle one of the most severe non-independent and identically distributed (non-IID) data challenge in federated learning (FL ...