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GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.

, , , , , , , , , , , and . Proc. ACM Manag. Data, 1 (2): 193:1-193:25 (2023)

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Building efficient and available distributed transaction with Paxos-based coding consensus., , , , and . INFOCOM Workshops, page 373-378. IEEE, (2018)SCHED²: Scheduling Deep Learning Training via Deep Reinforcement Learning., , , , and . GLOBECOM, page 1-7. IEEE, (2019)WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models., , , , , , , , and . AI Open, (2021)Deep Reinforcement Learning for the Joint AoI and Throughput Optimization of the Random Access System., , , , and . WCSP, page 695-700. IEEE, (2022)A Word Segmentation Method of Ancient Chinese Based on Word Alignment., , , , and . NLPCC (1), volume 11838 of Lecture Notes in Computer Science, page 761-772. Springer, (2019)Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest., , , , , , , , and . ICDE, page 2224-2236. IEEE, (2022)Variational Continual Test-Time Adaptation., , , , , , and . CoRR, (2024)FlexNF: Flexible Network Function Orchestration on the Programmable Data Plane., , , , and . IWQoS, page 1-6. IEEE, (2021)Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering., , , , and . ACL (1), page 9051-9063. Association for Computational Linguistics, (2023)A Federated Adversarial Learning Method for Biomedical Named Entity Recognition., , , , and . BIBM, page 2962-2969. IEEE, (2021)