Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning

no code implementations • 18 Jul 2023 • Kecheng Fan, Wen Chen, Jun Li, Xiumei Deng, Xuefeng Han, Ming Ding

As an efficient distributed machine learning approach, Federated learning (FL) can obtain a shared model by iterative local model training at the user side and global model aggregating at the central server side, thereby protecting privacy of users.

Federated Learning Scheduling