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FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning.

, , , , , , and . EMNLP, page 11971-11988. Association for Computational Linguistics, (2023)

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Design, Realization, and Evaluation of xShare for Impromptu Sharing of Mobile Phones., , , , , , and . IEEE Trans. Mob. Comput., 9 (12): 1682-1696 (2010)When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning., , , , , and . CoRR, (2018)Poster: TapSnoop - Inferring Tapstrokes from Listening to Tap Sound on Mobile Devices., , , , and . MobiSys (Companion Volume), page 137. ACM, (2016)AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets., , , , and . WWW, page 143-152. ACM, (2017)SWAROVsky: Optimizing Resource Loading for Mobile Web Browsing., , , , , and . IEEE Trans. Mob. Comput., 16 (10): 2941-2954 (2017)TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices., , and . IEEE Access, (2020)INDAPSON: An incentive data plan sharing system based on self-organizing network., , , , , and . INFOCOM, page 1545-1553. IEEE, (2014)Layer 2.5 SoftMAC: end-system based media streaming support on home networks., , , and . GLOBECOM, page 5. IEEE, (2005)xShare: supporting impromptu sharing of mobile phones., , , , , , and . MobiSys, page 15-28. ACM, (2009)DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing., , , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (2): 55:1-55:27 (2023)