LQ-SGD combines low-rank gradient compression with log quantization, claiming roughly 4x lower communication than PowerSGD while preserving accuracy and improving gradient-inversion resistance.
Powersgd: Practical low-rank gradient compression for distributed optimization
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Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
LQ-SGD combines low-rank gradient compression with log quantization, claiming roughly 4x lower communication than PowerSGD while preserving accuracy and improving gradient-inversion resistance.