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DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.

, , , , , and . CCS, page 2146-2168. ACM, (2021)

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Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise., , , , and . ICDE, page 218-231. IEEE, (2023)A Data Quality-Driven View of MLOps., , , , , and . IEEE Data Eng. Bull., 44 (1): 11-23 (2021)DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation., , , , , and . CCS, page 2146-2168. ACM, (2021)Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees., , , , , , , and . NeurIPS, (2022)Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3976-3987. PMLR, (2021)Ease.ML: A Lifecycle Management System for Machine Learning., , , , , , , , , and 10 other author(s). CIDR, www.cidrdb.org, (2021)SHiFT: An Efficient, Flexible Search Engine for Transfer Learning., , , , , and . Proc. VLDB Endow., 16 (2): 304-316 (2022)Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development., , , , and . Proc. VLDB Endow., 13 (12): 2837-2840 (2020)TSS: Transformation-Specific Smoothing for Robustness Certification., , , , , , , and . CCS, page 535-557. ACM, (2021)Which Model to Transfer? Finding the Needle in the Growing Haystack., , , , , , and . CVPR, page 9195-9204. IEEE, (2022)