What is recorded here?
Used server-computed optimizer statistics during each client update, with an SVRG-style correction in Mime, to approximate centralized optimization while reducing client drift.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Distinct from server-only FedOpt and persistent-client SCAFFOLD. Inherits variance reduction and centralized momentum/adaptive optimizers. The base method must decompose into the specified update/statistics maps; theory uses bounded gradient/Hessian dissimilarity and smoothness regimes. Mimicking does not mean identical centralized trajectories or guarantees for every optimizer, and extra full local-gradient work has a cost.
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People and systems
Sai Praneeth Karimireddy; Martin Jaggi; Satyen Kale; Mehryar Mohri; Sashank J. Reddi; Sebastian U. Stich; Ananda Theertha Suresh
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
Mime/MimeLite: applying shared optimizer statistics within local updates
Used server-computed optimizer statistics during each client update, with an SVRG-style correction in Mime, to approximate centralized optimization while reducing client drift.
Scientific scope
Distinct from server-only FedOpt and persistent-client SCAFFOLD. Inherits variance reduction and centralized momentum/adaptive optimizers. The base method must decompose into the specified update/statistics maps; theory uses bounded gradient/Hessian dissimilarity and smoothness regimes. Mimicking does not mean identical centralized trajectories or guarantees for every optimizer, and extra full local-gradient work has a cost.
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; Martin Jaggi; Satyen Kale; Mehryar Mohri; Sashank J. Reddi; Sebastian U. Stich; Ananda Theertha Suresh
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.