Work

FedDHKD: A Lightweight Federated Learning Framework Based on Dynamic Hierarchical Knowledge Distillation for 5G IoT

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

DOI: 10.1109/trustcom66490.2025.00342

Authors: Junxuan Lv, Qiwei Zhao, Hongbo Tang, Hang Qiu, Wei You, Yu Zhao

Institution: PLA Information Engineering University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science and Technology Major Project, Henan Province Science and Technology Innovation Talent Program, Key Technologies Research and Development Program, Henan Provincial Science and Technology Research Project

OpenAlex ID: W7127099640

FWCI: 0.357

Cites: 19

Cited by: 1

Related to: 10