[PDF] nsf.gov

[PDF][PDF] Understanding federated learning through loss landscape visualizations: A pilot study

Z Li, HY Chen, HW Shen, WLC Chao - NeurIPS 2022, 2022 - par.nsf.gov
Federated learning aims to train a machine learning model (eg, a neural network) in a data-
decentralized fashion. The key challenge is the potential data heterogeneity among clients …
被引用次数：5 相关文章

Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study

Z Li, HY Chen, HW Shen, WL Chao - icicle.osu.edu
Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study
Page 1 Understanding Federated Learning through Loss Landscape Visualizations: A Pilot …

Understanding Federated Learning through Loss Landscape Visualizations: A Pilot Study

Z Li, HY Chen, HW Shen, WL Chao - Workshop on Federated Learning … - openreview.net
Federated learning aims to train a machine learning model (eg, a neural network) in a data-
decentralized fashion. The key challenge is the potential data heterogeneity among clients …