gradient compression

Compressing Gradient Optimizers via Count-Sketches ICML 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019 Error Feedback Fixes SignSGD and other Gradient Compression Schemes ICML 2019 PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NeurIPS 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 Two Tiered Distributed Training Algorithm for Acoustic Modeling Interspeech 2019 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training ICLR 2018 Distributed Fine-tuning of Language Models on Private Data ICLR 2018 Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 signSGD: Compressed Optimisation for Non-Convex Problems ICML 2018 Sparsified SGD with Memory NeurIPS 2018 Sparse Communication for Distributed Gradient Descent EMNLP 2017