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IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility., , , , and . IEEE Trans. Mob. Comput., 18 (7): 1571-1584 (2019)No Radio Left Behind: Radio Fingerprinting Through Deep Learning of Physical-Layer Hardware Impairments., , , , , , , , and . IEEE Trans. Cogn. Commun. Netw., 6 (1): 165-178 (2020)Physical-Layer Deep Learning: Challenges and Applications to 5G and Beyond., and . CoRR, (2020)The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting., , and . MobiHoc, page 41-50. ACM, (2021)SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing., , , and . ICDCS, page 864-874. IEEE, (2023)Federated Learning with Packet Losses., , , , , , and . WPMC, page 1-6. IEEE, (2023)Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification., , and . INFOCOM, page 1-10. IEEE, (2021)Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks., , and . DySPAN, page 248-253. IEEE, (2021)FIDES: A trust-based framework for secure user incentivization in participatory sensing., and . WoWMoM, page 1-10. IEEE Computer Society, (2014)ARTe: Providing real-time multitasking to Arduino., , , , , , , and . J. Syst. Softw., (2022)