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Novel construction methods of quaternion orthogonal designs based on complex orthogonal designs.

, , and . ISIT, page 973-977. IEEE, (2017)

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On Low Complexity ML Decoder for Quaternion Orthogonal Designs., , and . IEEE Commun. Lett., 21 (5): 1087-1090 (2017)FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings., , , , , , , , , and 14 other author(s). NeurIPS, (2022)SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision., , , , , and . CoRR, (2021)On Decoupled Decoding of Quasi-Orthogonal STBCs Using Quaternion Algebra., , and . IEEE Syst. J., 13 (2): 1580-1586 (2019)SPIDER: Searching Personalized Neural Architecture for Federated Learning., , , and . CoRR, (2021)What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened., , and . ICMLA, page 1740-1747. IEEE, (2022)Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging., , , and . ISBI, page 1-5. IEEE, (2023)An Ensemble Approach to Automatic Brain Tumor Segmentation., , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 138-148. Springer, (2021)Novel construction methods of quaternion orthogonal designs based on complex orthogonal designs., , and . ISIT, page 973-977. IEEE, (2017)