Abstract: Federated Learning (FL) is a data-decentralized learning paradigm that preserves data privacy by enabling model training without sharing raw data. However, FL suffers from performance ...
Rep. Alexandria Ocasio-Cortez (D-NY) speaks during the Munich Security Conference in Munich on Feb. 13. (Liesa Johannssen/Reuters) Secretary of State Marco Rubio got the most attention at the Munich ...
Abstract: In a cloud-edge collaborative environment, especially for the Internet of Vehicles, federated learning (FL) has garnered widespread attention due to its unique training process, where users ...