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Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions.

, , , and . IEEE J. Biomed. Health Informatics, 27 (2): 790-803 (February 2023)

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APRON: an Architecture for Adaptive Task Planning of Internet of Things in Challenged Edge Networks., , , , , and . CloudNet, page 1-6. IEEE, (2019)Inferring Visibility of Internet Traffic Matrices Using eXplainable AI., , , , , and . NOMS, page 1-6. IEEE, (2024)A Collaborative and Distributed Learning-Based Solution to Autonomously Plan Computer Networks., , , , and . ICIN, page 1-5. IEEE, (2023)HINT: Supporting Congestion Control Decisions with P4-driven In-Band Network Telemetry., , , and . HPSR, page 83-88. IEEE, (2023)On Control and Data Plane Programmability for Data-Driven Networking., , and . HPSR, page 1-6. IEEE, (2021)RLVNA: a Platform for Experimenting with Virtual Networks Adaptations over Public Testbeds., , , , and . MeditCom, page 406-411. IEEE, (2023)LiveMicro: An Edge Computing System for Collaborative Telepathology., , , and . HotEdge, USENIX Association, (2019)A distributed reinforcement learning approach for energy and congestion-aware edge networks., , and . CoNEXT, page 546-547. ACM, (2020)Resource Inference for Sustainable and Responsive Task Offloading in Challenged Edge Networks., , and . IEEE Trans. Green Commun. Netw., 5 (3): 1114-1127 (2021)Recovering Missing Monitoring Data to Enhance Service Provisioning in the Edge-to-Cloud Continuum., , , , and . NetSoft, page 25-30. IEEE, (2024)