2 papers
cs.CL2025
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting
Gyanendra Shrestha, Chutain Jiang, Sai Akula +3
Embeddings serve as condensed vector representations for real-world entities, finding applications in Natural Language Processing (NLP), Computer Vision, and Data Management across…
cs.LG2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
Chutian Jiang, Hansong Zhou, Xiaonan Zhang +1
Federated learning (FL) enables clients to collaboratively train machine learning models under the coordination of a server in a privacy-preserving manner. One of the main challeng…