Communication compression method based on model weight distribution in federated learning

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United States of America Patent

PATENT NO 11468370
SERIAL NO

17653778

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A communication compression method based on model weight distribution in federated learning, and belongs to the technical field of wireless communication. Based on the existing federated average idea in federated learning, counts the distribution of model weight information to be transmitted between nodes during each communication, then performs scalar quantization and compression through Lloyd-Max quantizer according to their distribution characteristics, then encodes with Huffman coding method, and finally sends the codes to the target node, thereby the minimum mean square quantization error is realized and the number of bits required for communication is reduced.

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Patent Owner(s)

  • GOVERNORS OF THE SHANDONG UNIVERSITY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Guo, Shuaishuai Jinan, CN 3 0
Lv, Shuheng Jinan, CN 1 0
Zhang, Haixia Jinan, CN 15 30

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