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Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms.

, , , , and . ACL (1), page 12149-12163. Association for Computational Linguistics, (2023)

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Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms., , , , and . ACL (1), page 12149-12163. Association for Computational Linguistics, (2023)A Large-Scale Empirical Study on the Vulnerability of Deployed IoT Devices., , , , , , , , and . IEEE Trans. Dependable Secur. Comput., 19 (3): 1826-1840 (2022)Model Pruning Enables Efficient Federated Learning on Edge Devices., , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (12): 10374-10386 (December 2023)Enhancing Robustness in Federated Learning by Supervised Anomaly Detection., , , and . ICPR, page 996-1003. IEEE, (2022)Sensor-Based Implicit Authentication of Smartphone Users., and . DSN, page 309-320. IEEE Computer Society, (2017)Implicit Smartphone User Authentication with Sensors and Contextual Machine Learning., and . DSN, page 297-308. IEEE Computer Society, (2017)Time Series Segmentation through Automatic Feature Learning., , , and . CoRR, (2018)Using GIDL mechanism for low-power consumption and data retention time improvement in a double-gate nanowire TFT 1T-DRAM with Fin-Gate and Pillar-Body structure., , , , , , and . ASICON, page 1-4. IEEE, (2015)Model Pruning Enables Efficient Federated Learning on Edge Devices., , , , and . CoRR, (2019)Implicit Authentication for Smartphone Security., and . ICISSP (Revised Selected Papers), volume 576 of Communications in Computer and Information Science, page 160-176. Springer, (2015)