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Differentially Private CutMix for Split Learning with Vision Transformer.

, , , , , , , и . CoRR, (2022)

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Federated Knowledge Distillation., , , , и . CoRR, (2020)LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning., , , , , , и . WWW, стр. 3347-3357. ACM, (2022)Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup., , , , , и . CoRR, (2020)Distilling On-Device Intelligence at the Network Edge., , , , , , , , и . CoRR, (2019)Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data., , , , , и . CoRR, (2018)Hiding in the Crowd: Federated Data Augmentation for On-Device Learning., , , , , и . IEEE Intell. Syst., 36 (5): 80-87 (2021)Multi-hop Federated Private Data Augmentation with Sample Compression., , , , , и . CoRR, (2019)SplitAMC: Split Learning for Robust Automatic Modulation Classification., , и . VTC2023-Spring, стр. 1-6. IEEE, (2023)Poster: Location-based Directional CSMA/CA for Millimeter Wave V2V Communications., , и . VNC, стр. 1-2. IEEE, (2018)Differentially Private CutMix for Split Learning with Vision Transformer., , , , , , , и . CoRR, (2022)