What is recorded here?
Analyzed how unequal local update counts/solvers change implicit aggregation weights, and normalized accumulated local gradients before averaging to target the intended global objective.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Consistency removes the specified surrogate-objective bias under modeled accumulation/sampling, not every source of non-IID drift, fairness or generalization failure. Rates need smoothness, stochastic-gradient and heterogeneity assumptions and suitable local learning rates. Permitted local solvers have the specified linear accumulation structure; arbitrary optimizers cannot be inserted without checking it.
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People and systems
Jianyu Wang; Qinghua Liu; Hao Liang; Gauri Joshi; H. Vincent Poor
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
FedNova: normalized local updates for objective-consistent aggregation
Analyzed how unequal local update counts/solvers change implicit aggregation weights, and normalized accumulated local gradients before averaging to target the intended global objective.
Scientific scope
Consistency removes the specified surrogate-objective bias under modeled accumulation/sampling, not every source of non-IID drift, fairness or generalization failure. Rates need smoothness, stochastic-gradient and heterogeneity assumptions and suitable local learning rates. Permitted local solvers have the specified linear accumulation structure; arbitrary optimizers cannot be inserted without checking it.
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
Jianyu Wang; Qinghua Liu; Hao Liang; Gauri Joshi; H. Vincent Poor
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.