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Just-in-Time Aggregation for Federated Learning., , , and . MASCOTS, page 1-8. IEEE, (2022)On demand Web-client technologies., , , , , , , , , and . IBM Syst. J., 43 (2): 297-315 (2004)Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems., , , , , , , , , and 4 other author(s). IUI, page 220-239. ACM, (2023)Enabling Bring-Your-Own-Device using mobile application instrumentation., , , , , , and . IBM J. Res. Dev., (2013)NeuNetS: An Automated Synthesis Engine for Neural Network Design., , , , , , , , , and 10 other author(s). CoRR, (2019)IBM Federated Learning: an Enterprise Framework White Paper V0.1., , , , , , , , , and 14 other author(s). CoRR, (2020)Adaptive Aggregation For Federated Learning., , , , and . IEEE Big Data, page 180-185. IEEE, (2022)Improving design validation of mobile application user interface implementation., , , and . MOBILESoft, page 277-278. ACM, (2016)Runtime adaptive multi-factor authentication for mobile devices., , , , , and . IBM J. Res. Dev., (2013)MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent., , , , and . CLOUD, page 201-210. IEEE, (2020)