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TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage

, , , and . International Conference on Parallel and Distributed Computing (Euro-Par), volume 12247 of Lecture Notes in Computer Science, page 281--295. Springer, (2020)
DOI: 10.1007/978-3-030-57675-2\_18

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TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage, , , and . International Conference on Parallel and Distributed Computing (Euro-Par), volume 12247 of Lecture Notes in Computer Science, page 281--295. Springer, (2020)Federated Learning Operations Made Simple with Flame., , , , , and . CoRR, (2023)An Intelligent Machine Learning Approach for Smart Grid Theft Detection., , and . WoWMoM, page 507-514. IEEE, (2022)Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud., , and . CoRR, (2021)Short Term Load Forecasting for Smart Grids Using Apache Spark and a Modified Transformer Model., , and . Comput. Informatics, 42 (1): 75-97 (2023)A novel deep learning approach to predict subject arm movements from EEG-based signals., , , , and . Neural Comput. Appl., 35 (16): 11669-11679 (June 2023)Flame: Simplifying Topology Extension in Federated Learning., , , , , and . SoCC, page 341-357. ACM, (2023)SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads., , , , , and . CoRR, (2023)Multitask Scheduling of Computer Vision Workload on Edge Graphical Processing Units., , , , , and . COMSNETS, page 588-593. IEEE, (2023)