conftrace_

gradient compression

78 papers

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Co-occurring keywords

communication efficiency (297) distributed learning (563) distributed training (188) stochastic gradient descent (1091) federated learning (1333) distributed optimization (275) model compression (3302) communication compression (55) error feedback (22) stochastic gradient (296)

Papers

Communication-efficient Distributed Learning for Large Batch Optimization ICML 2022
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022
Communication-Efficient Adaptive Federated Learning ICML 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022
Shifted compression framework: generalizations and improvements UAI 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Distributed adversarial training to robustify deep neural networks at scale UAI 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NIPS 2022
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022
Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021
Stochastic Sign Descent Methods: New Algorithms and Better Theory ICML 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021
Escaping Saddle Points with Compressed SGD NIPS 2021
Error Compensated Distributed SGD Can Be Accelerated NIPS 2021
SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021
vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads AISTATS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Rethinking gradient sparsification as total error minimization NIPS 2021
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning AAAI 2021