{"total":26,"rows":[{"id":"2302.03109","title":"On the Convergence of Federated Averaging with Cyclic Client Participation","created":"2023-02-06","cited_by_count":31,"area":null},{"id":"2106.04881","title":"Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms","created":"2021-06-09","cited_by_count":23,"area":null},{"id":"2303.07160","title":"Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond","created":"2023-03-13","cited_by_count":22,"area":null},{"id":"2104.09342","title":"Random Reshuffling with Variance Reduction: New Analysis and Better Rates","created":"2021-04-19","cited_by_count":19,"area":null},{"id":"2205.10733","title":"GraB: Finding Provably Better Data Permutations than Random Reshuffling","created":"2022-05-22","cited_by_count":19,"area":null},{"id":"2102.09718","title":"Permutation-Based SGD: Is Random Optimal?","created":"2021-02-19","cited_by_count":17,"area":null},{"id":"2110.04926","title":"Convergence of Random Reshuffling Under The Kurdyka-{\\L}ojasiewicz Inequality","created":"2021-10-10","cited_by_count":16,"area":null},{"id":"2403.07723","title":"On the Last-Iterate Convergence of Shuffling Gradient Methods","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2206.02953","title":"Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization","created":"2022-06-07","cited_by_count":10,"area":null},{"id":"2302.00845","title":"Coordinating Distributed Example Orders for Provably Accelerated Training","created":"2023-02-02","cited_by_count":7,"area":null},{"id":"2305.19259","title":"On Convergence of Incremental Gradient for Non-Convex Smooth Functions","created":"2023-05-30","cited_by_count":7,"area":null},{"id":"2306.12498","title":"Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds","created":"2023-06-21","cited_by_count":6,"area":null},{"id":"2403.09613","title":"Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training","created":"2024-03-14","cited_by_count":6,"area":null},{"id":"2207.04330","title":"Multi-Model Federated Learning with Provable Guarantees","created":"2022-07-09","cited_by_count":5,"area":null},{"id":"2311.11841","title":"High Probability Guarantees for Random Reshuffling","created":"2023-11-20","cited_by_count":5,"area":null},{"id":"2405.19463","title":"Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data","created":"2024-05-29","cited_by_count":4,"area":null},{"id":"2202.03524","title":"Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution","created":"2022-02-07","cited_by_count":2,"area":null},{"id":"2402.07052","title":"Understanding the Training Speedup from Sampling with Approximate Losses","created":"2024-02-10","cited_by_count":2,"area":null},{"id":"2406.05637","title":"A Generalized Version of Chung's Lemma and its Applications","created":"2024-06-09","cited_by_count":1,"area":null},{"id":"2509.13628","title":"Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2212.01848","title":"Convergence of ease-controlled Random Reshuffling gradient Algorithms under Lipschitz smoothness","created":"2022-12-04","cited_by_count":0,"area":null},{"id":"2306.15848","title":"Ordering for Non-Replacement SGD","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2309.01640","title":"Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD","created":"2023-09-04","cited_by_count":0,"area":null},{"id":"2411.15795","title":"Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2506.12444","title":"Adjusted Shuffling SARAH: Advancing Complexity Analysis via Dynamic Gradient Weighting","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2610.19444","title":"Large-Step Last-Iterate Convergence of Random-Reshuffling Stochastic Gradient Descent","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}