Abstract: In UAV-assisted edge computing systems, existing research inadequately addresses multi-resource heterogeneity, encompassing computational resource differences and energy consumption ...
Abstract: Vertical Federated Learning (VFL) offers a novel paradigm in machine learning, enabling distinct entities to train models cooperatively while maintaining data privacy. This method is ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
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