https://arxiv.org/abs/2410.01256 ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity IssuesMobile devices contribute more than half of the world's web traffic, providing massive and diverse data for powering various federated learning (FL) applications. In order to avoid the communication bottleneck on the parameter server (PS) and accelerate tharxiv.org 오늘 리뷰할 논문은 Mob..