Xiao, Qiao

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity

2025 · arXiv (Cornell University)

Federated learning (FL) enables collaborative model training across decentralized clients while preserving data privacy, leveraging aggregated updates to build robust global models. However, this training paradigm faces significant challenges due to data heterogeneity and limited …