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Error-feedback SGD: biased-compression counterexamples and residual correction

Exhibited convex failure cases for naive sign compression and used stored compression residuals in future updates, analyzing error-feedback SGD and scaled sign variants.

What is recorded here?

Exhibited convex failure cases for naive sign compression and used stored compression residuals in future updates, analyzing error-feedback SGD and scaled sign variants.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Inherits earlier error-feedback implementations and convex analyses; contribution is broader corrective analysis/counterexamples, not invention of all feedback. Positive rates require a delta-approximate compressor, unbiased bounded-moment stochastic gradients and stated smoothness/convexity assumptions. Compression terms remain in higher-order smooth bounds and leading nonsmooth bounds; not arbitrary broken compressors or literally free computation/communication.

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People and systems

Sai Praneeth Karimireddy; Quentin Rebjock; Sebastian U. Stich; Martin Jaggi

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

Error-feedback SGD: biased-compression counterexamples and residual correction

Exhibited convex failure cases for naive sign compression and used stored compression residuals in future updates, analyzing error-feedback SGD and scaled sign variants.

Scientific scope

Inherits earlier error-feedback implementations and convex analyses; contribution is broader corrective analysis/counterexamples, not invention of all feedback. Positive rates require a delta-approximate compressor, unbiased bounded-moment stochastic gradients and stated smoothness/convexity assumptions. Compression terms remain in higher-order smooth bounds and leading nonsmooth bounds; not arbitrary broken compressors or literally free computation/communication.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Sai Praneeth Karimireddy; Quentin Rebjock; Sebastian U. Stich; Martin Jaggi

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources