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cs.LG2024
TablePuppet: A Generic Framework for Relational Federated Learning
Lijie Xu, Chulin Xie, Yiran Guo +6
Current federated learning (FL) approaches view decentralized training data as a single table, divided among participants either horizontally (by rows) or vertically (by columns).…
cs.LG2023
Effective and Efficient Federated Tree Learning on Hybrid Data
Qinbin Li, Chulin Xie, Xiaojun Xu +5
Federated learning has emerged as a promising distributed learning paradigm that facilitates collaborative learning among multiple parties without transferring raw data. However, m…
cs.LG2019
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia, David Dao, Boxin Wang +6
Given a data set containing millions of data points and a data consumer who is willing to pay for $ to train a machine learning (ML) model over , how…