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Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests.

, , and . INFOCOM, page 1-10. IEEE, (2023)

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Impact of Spreading Factor Imperfect Orthogonality in LoRa Communications., , , , and . TIWDC, volume 766 of Communications in Computer and Information Science, page 165-179. Springer, (2017)Demo: A Cell-level Traffic Generator for LoRa Networks., , and . MobiCom, page 474-476. ACM, (2017)Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions., , , and . INFOCOM (Workshops), page 1-6. IEEE, (2024)Network Intelligence in Action: the DAEMON Perspective., , , , , , , , and . EuCNC/6G Summit, page 759-764. IEEE, (2024)Demonstrating Flow-Level In-Switch Inference., , , and . INFOCOM Workshops, page 1-2. IEEE, (2023)Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches., , , and . INFOCOM, page 1631-1640. IEEE, (2024)Showcasing In-Switch Machine Learning Inference., , , and . NetSoft, page 299-301. IEEE, (2023)A Flexible 4G/5G Control Platform for Fingerprint-based Indoor Localization., , , and . INFOCOM Workshops, page 744-749. IEEE, (2019)Henna: hierarchical machine learning inference in programmable switches., , , and . NativeNI@CoNEXT, page 1-7. ACM, (2022)Fast Detection of Cyberattacks on the Metaverse through User-plane Inference., , , and . MetaCom, page 350-354. IEEE, (2023)