2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
Erdong Hu, Yuxin Tang, Anastasios Kyrillidis +1
We carefully evaluate a number of algorithms for learning in a federated environment, and test their utility for a variety of image classification tasks. We consider many issues th…
cs.LG2023★ 1 cited
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang, Zhimin Ding, Dimitrije Jankov +3
The relational data model was designed to facilitate large-scale data management and analytics. We consider the problem of how to differentiate computations expressed relationally.…