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Communication-efficient Decentralized Machine Learning over Heterogeneous Networks.

, , , , , and . ICDE, page 384-395. IEEE, (2021)

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Communication-efficient Decentralized Machine Learning over Heterogeneous Networks., , , , , and . ICDE, page 384-395. IEEE, (2021)Differentially Private Frequent Itemset Mining Against Incremental Updates., , , and . ICICS, volume 11999 of Lecture Notes in Computer Science, page 649-667. Springer, (2019)A Fusion-Denoising Attack on InstaHide with Data Augmentation., , , , and . AAAI, page 1899-1907. AAAI Press, (2022)Serverless Data Science - Are We There Yet? A Case Study of Model Serving., , , , , and . SIGMOD Conference, page 1866-1875. ACM, (2022)Feature Inference Attack on Model Predictions in Vertical Federated Learning., , , and . CoRR, (2020)Serverless Model Serving for Data Science., , , , , and . CoRR, (2021)FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data., , , and . Proc. ACM Manag. Data, 1 (1): 107:1-107:28 (2023)Incentive-Aware Decentralized Data Collaboration., , , , and . Proc. ACM Manag. Data, 1 (2): 158:1-158:27 (2023)Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs., , , , and . CoRR, (2023)Feature Inference Attack on Model Predictions in Vertical Federated Learning., , , and . ICDE, page 181-192. IEEE, (2021)