gradient compression

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NeurIPS 2021 Error Compensated Distributed SGD Can Be Accelerated NeurIPS 2021 ErrorCompensatedX: error compensation for variance reduced algorithms NeurIPS 2021 Escaping Saddle Points with Compressed SGD NeurIPS 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021 LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads AISTATS 2021 Rethinking gradient sparsification as total error minimization NeurIPS 2021 SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021 Stochastic Sign Descent Methods: New Algorithms and Better Theory ICML 2021 vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021 A Double Residual Compression Algorithm for Efficient Distributed Learning AISTATS 2020 CSER: Communication-efficient SGD with Error Reset NeurIPS 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning AAAI 2020 On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020 Practical Low-Rank Communication Compression in Decentralized Deep Learning NeurIPS 2020 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training NeurIPS 2020 TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020 Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019 Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Communication-efficient Distributed SGD with Sketching NeurIPS 2019