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    Research of channel quantization and feedback strategies based on multiuser diversity MIMO-OFDM systems by LIANG Xue-jun, ZHU Guang-xi, SU Gang, WANG De-sheng

    Published 2009-01-01
    “…Firstly, a quantization method was proposed by quantized value indicating the modulation level instead of the full values of channel quality information(CQI) and the achievable average spectrum efficiency showed no loss compared with perfect case.Secondly, employment of the integrated design that combined with opportunistic, best, and hybrid feedback scheme was considered and the close-form expression of average spectrum efficiency was deduced in various case.Finally, the calculation of optimal feedback parameters was confirmed from two aspects of feedback channel capacity and capacity relative loss.Extensive simulations were presented to evaluate these proposed strategies.The results match with the numeral analysis very well.The proposed partial feedback schemes can reduce the feedback load greatly with the same system capability, only if the feedback parameters be chosen properly.Wherein, the hybrid feedback combined with quantization performs best and provides the instruction to design the channel feedback of practical systems.…”
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  3. 43

    Classification of Incidental Carcinoma of the Prostate Using Learning Vector Quantization and Support Vector Machines by Torsten Mattfeldt, Danilo Trijic, Hans‐Werner Gottfried, Hans A. Kestler

    Published 2004-01-01
    “…Using LVQ and SVM with the information from all 10 input variables, more than 80 of the cases could be correctly predicted as T1a or T1b category with specificity, sensitivity, negative and positive predictive value from 74–92%. …”
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  4. 44

    BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning by Sangmin Lee, Hyeryung Jang

    Published 2025-01-01
    “…Existing solutions typically apply compression techniques such as quantization or pruning but only to a limited extent, constrained by the trade-off between model accuracy and compression efficiency. …”
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    QDLTrans: Enhancing English Neural Machine Translation With Quantized Attention Block and Tunable Dual Learning by Xing Liu

    Published 2025-01-01
    “…To address the complexity of incorporating pre-trained language models, we introduce a Quantized Attention Block (QAB), which effectively distills semantic information from ML-BERT and integrates it with the Transformer. …”
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    Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning With Adaptive Quantization and Differential Privacy by Emre Ardic, Yakup Genc

    Published 2025-01-01
    “…Additionally, there is a potential risk of exposing sensitive information through the model or gradient analysis during training. …”
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    A quantization-coding scheme with variable data rates for cyber-physical systems under DoS attacks by Fang Jin, Long Ma, Chenming Zhao, Qingquan Liu

    Published 2024-12-01
    “…An illustrative example is given to demonstrate the effectiveness of the proposed quantization-coding scheme.…”
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