{"total":32,"rows":[{"id":"2110.12347","title":"Acceleration in Distributed Optimization under Similarity","created":"2021-10-24","cited_by_count":17,"area":null},{"id":"2201.09194","title":"Distributed Learning of Generalized Linear Causal Networks","created":"2022-01-23","cited_by_count":13,"area":null},{"id":"2103.02860","title":"Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference","created":"2021-03-04","cited_by_count":11,"area":null},{"id":"2206.07786","title":"Federated Data Analytics: A Study on Linear Models","created":"2022-06-15","cited_by_count":9,"area":null},{"id":"2107.10706","title":"Distributed Saddle-Point Problems Under Similarity","created":"2021-07-22","cited_by_count":8,"area":null},{"id":"2110.13113","title":"Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees","created":"2021-10-25","cited_by_count":8,"area":null},{"id":"2111.14008","title":"Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling","created":"2021-11-28","cited_by_count":8,"area":null},{"id":"2110.10956","title":"Data splitting improves statistical performance in overparametrized regimes","created":"2021-10-21","cited_by_count":6,"area":null},{"id":"2102.10080","title":"Distributed Bootstrap for Simultaneous Inference Under High Dimensionality","created":"2021-02-19","cited_by_count":4,"area":null},{"id":"2407.06346","title":"High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates","created":"2024-07-08","cited_by_count":3,"area":null},{"id":"2101.01505","title":"Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications","created":"2021-01-05","cited_by_count":2,"area":null},{"id":"2109.01326","title":"Statistical Estimation and Inference via Local SGD in Federated Learning","created":"2021-09-03","cited_by_count":2,"area":null},{"id":"2209.08737","title":"Heterogeneous Federated Learning on a Graph","created":"2022-09-19","cited_by_count":2,"area":null},{"id":"2405.07552","title":"Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2509.21800","title":"Federated Learning of Quantile Inference under Local Differential Privacy","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2111.06530","title":"Distributed Sparse Regression via Penalization","created":"2021-11-12","cited_by_count":1,"area":null},{"id":"2207.00306","title":"CEDAR: Communication Efficient Distributed Analysis for Regressions","created":"2022-07-01","cited_by_count":1,"area":null},{"id":"2306.06324","title":"Differentially private sliced inverse regression in the federated paradigm","created":"2023-06-10","cited_by_count":1,"area":null},{"id":"2306.10395","title":"Distributed Semi-Supervised Sparse Statistical Inference","created":"2023-06-17","cited_by_count":1,"area":null},{"id":"2407.13980","title":"Byzantine-tolerant distributed learning of finite mixture models","created":"2024-07-19","cited_by_count":1,"area":null},{"id":"2505.08198","title":"SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation","created":"2025-05-13","cited_by_count":1,"area":null},{"id":"2102.10771","title":"Divide-and-conquer methods for big data analysis","created":"2021-02-22","cited_by_count":0,"area":null},{"id":"2103.00373","title":"Communication-efficient Byzantine-robust distributed learning with statistical guarantee","created":"2021-02-28","cited_by_count":0,"area":null},{"id":"2210.08393","title":"Distributed Estimation and Inference for Semi-parametric Binary Response Models","created":"2022-10-15","cited_by_count":0,"area":null},{"id":"2210.11562","title":"Local SGD in Overparameterized Linear Regression","created":"2022-10-20","cited_by_count":0,"area":null},{"id":"2302.12111","title":"Communication-Efficient Distributed Estimation and Inference for Cox's Model","created":"2023-02-23","cited_by_count":0,"area":null},{"id":"2310.13969","title":"Distributed Linear Regression with Compositional Covariates","created":"2023-10-21","cited_by_count":0,"area":null},{"id":"2403.11163","title":"A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques","created":"2024-03-17","cited_by_count":0,"area":null},{"id":"2408.17276","title":"Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2503.07563","title":"Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2605.13283","title":"Byzantine-Robust Distributed Sparse Learning Revisited","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.11738","title":"Renewable Lasso without Batch-Number Constraints: A Gradient-Enhanced Approach","created":"2026-06-10","cited_by_count":0,"area":null}],"next_cursor":null}