distributed mean estimation

Unbiased Quantization of the L_1 Ball for Communication-Efficient Distributed Mean Estimation AISTATS 2025 Accelerating Federated Learning with Quick Distributed Mean Estimation ICML 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NeurIPS 2023 Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NeurIPS 2023 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022 The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation ICML 2022 DRIVE: One-bit Distributed Mean Estimation NeurIPS 2021 New Bounds For Distributed Mean Estimation and Variance Reduction ICLR 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation NeurIPS 2019