3 papers
cs.LG2025
Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
Jianing Zhang, Evan Chen, Dong-Jun Han +2
Vertical Federated Learning (VFL) enables collaborative model training across feature-partitioned devices, yet its reliance on device-server information exchange introduces signifi…
cs.LG2025
Gradient Correction in Federated Learning with Adaptive Optimization
Evan Chen, Shiqiang Wang, Jianing Zhang +3
In federated learning (FL), model training performance is strongly impacted by data heterogeneity across clients. Client-drift compensation methods have recently emerged as a solut…
cs.LG2025
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning
Atul Sharma, Kavindu Herath, Saurabh Bagchi +2
We introduce the Hubs and Spokes Learning (HSL) framework, a novel paradigm for collaborative machine learning that combines the strengths of Federated Learning (FL) and Decentrali…