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Distributed network for AI with sketch

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forecast + bit packeting + entropy coding

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Reinforcement Learning强化学习+基于ECN的分布式拥塞控制机制

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reuse commonly employed data structures to solve double counting problem

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CM(dst)+bitmap(src)

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由简单的抛硬币试验可以引导出如此的震撼的算法,数学之强大。

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adaptive threshold& network-wide heavy hitter detection

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和黄群的sketchlearn类似。。。

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各种data structure慢慢总结。。。

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