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Papers Benchmarks Datasets Tasks

Distributed Optimization research benchmarks · SOTA2 Research

Distributed Optimization

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Stochastic Convex Optimization (σ = O(1), N = MKR)

1Convergence Rate Bound

8

Jun 2, 2026

Distributed Linear System (theoretical)

Distributed Gradient Descent (DGD)

1Convergence Rate

6

Jun 5, 2026

Optimization under Byzantine and/or DP adversaries

2Utility

6

Mar 25, 2026

Problem Strongly-convex 2

2Communication Cost

4

Feb 26, 2026

Problem Nonconvex objective functions

1Computational Cost

3

Feb 26, 2026

Linearly converging algorithms with Partial Participation exact gradients

1Communication Complexity Bound (UpCom)

1

Jun 9, 2026

General First-order optimization setting

—

—Primary metric

0

May 12, 2026

Nonconvex smooth objectives

—

—Primary metric

0

Feb 26, 2026

μ-strongly convex functions

—

—Primary metric

0

Feb 26, 2026

General convex functions

—

—Primary metric

0

Feb 26, 2026

Strongly convex objective under similarity

—

—Primary metric

0

Feb 26, 2026

General Non-convex Distributed Optimization Theoretical

—

—Primary metric

0

Feb 26, 2026

Popular datasets

Problem General General Non-convex Distributed Optimization Strongly convex objective under similarity General convex functions

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