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Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems.

, , , and . IEEE J. Biomed. Health Informatics, 26 (12): 5805-5816 (2022)

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A Grid Resource Allocation Mechanism for Heterogeneous E-waste Computers., , , and . AusGrid, volume 99 of CRPIT, page 69-75. Australian Computer Society, (2009)Implementing an agent based auction model on a cluster of reused workstations., , and . Int. J. Comput. Appl. Technol., 34 (4): 230-234 (2009)Impact of Node ranking on Outcomes of grid Resource allocation., , , and . GCA, page 17-22. CSREA Press, (2009)Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis., , , and . WWW (Companion Volume), page 201-204. ACM, (2022)Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems., , and . INFOCOM Workshops, page 1-8. IEEE, (2022)Reducing energy consumption in distributed computing through economic resource allocation., , , and . Int. J. Grid Util. Comput., 4 (4): 231-241 (2013)DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks., , , , , and . Future Gener. Comput. Syst., (2021)Cognitive IoT Gateways: Automatic Task Sharing and Switching between Cloud and Edge/Fog Computing., , , and . SIGCOMM Posters and Demos, page 121-123. ACM, (2017)Error Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018., , , , and . CNS, page 254-262. IEEE, (2022)Complexity Measures for IoT Network Traffic., , and . IEEE Internet Things J., 9 (24): 25715-25735 (2022)