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Moving Deep Learning into Web Browser: How Far Can We Go?, , , , and . WWW, page 1234-1244. ACM, (2019)FLASH: Heterogeneity-Aware Federated Learning at Scale., , , , , , , , , and 1 other author(s). IEEE Trans. Mob. Comput., 23 (1): 483-500 (January 2024)Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model., , , , , and . Sci. China Inf. Sci., 62 (11): 219101:1-219101:3 (2019)Demystifying Mobile Extended Reality in Web Browsers: How Far Can We Go?, , , , , and . WWW, page 2960-2969. ACM, (2023)Aladdin: Automating Release of Deep-Link APIs on Android., , , , and . WWW, page 1469-1478. ACM, (2018)Reuse of Chinese Domain Ontology for the restricted domain Question Answering System., , , and . J. Comput., 7 (11): 2684-2690 (2012)Mandheling: mixed-precision on-device DNN training with DSP offloading., , , , , , , , and . MobiCom, page 214-227. ACM, (2022)MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization., , , , and . ICPR, page 407-414. IEEE, (2020)Understanding the Impact of Visual Factors on the Experience of Loading Web Apps., , and . Internetware, page 10-15. ACM, (2022)Parallelizing DNN inference in mobile web browsers on heterogeneous hardware., , and . MobiSys, page 519-520. ACM, (2022)