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ADMSv2: A Modern Architecture for Transportation Data Management and Analysis., , , , and . ARIC@SIGSPATIAL, page 25-28. ACM, (2019)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , and 14 other author(s). NeurIPS, (2022)Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling., , , , and . IJCNN, page 1-8. IEEE, (2019)Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection., , , , and . CoRR, (2021)Federated Analytics: A survey., , , , , , and . CoRR, (2023)MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation., , , and . CVPR, page 11990-11999. Computer Vision Foundation / IEEE, (2020)PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4150-4159. PMLR, (2021)Federated Learning for Internet of Things., , , , , and . SenSys, page 413-419. ACM, (2021)FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks., , , , , , , , , and . NAACL-HLT (Findings), page 157-175. Association for Computational Linguistics, (2022)FedNAS: Federated Deep Learning via Neural Architecture Search., , and . CoRR, (2020)