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VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks.

, , and . CoRR, (2023)

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A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection., , , , , , and . CoRR, (2019)VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks., , and . CoRR, (2023)A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning., , and . NeurIPS, (2022)The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems., , , , , and . ACM Trans. Intell. Syst. Technol., 13 (4): 63:1-63:32 (2022)The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems., , , , , and . CoRR, (2020)A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning., , and . CoRR, (2021)Practical Vertical Federated Learning with Unsupervised Representation Learning., , and . CoRR, (2022)Privacy-Preserving Gradient Boosting Decision Trees., , , and . CoRR, (2019)A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection., , , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (4): 3347-3366 (April 2023)DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning., , , and . Proc. ACM Manag. Data, 1 (2): 168:1-168:26 (2023)