conftrace_

error feedback

22 papers

Explore in graph

Also known as

EF

Co-occurring keywords

communication compression (55) gradient compression (78) distributed learning (563) stochastic gradient descent (1091) communication efficiency (297) distributed optimization (275) federated learning (1333) distributed training (188) convergence rate (607) variance reduction (523)

Papers

EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback ACL 2023
On Biased Compression for Distributed Learning JMLR 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023
Momentum Provably Improves Error Feedback! NIPS 2023
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NIPS 2023
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NIPS 2022
Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NIPS 2021
Rethinking gradient sparsification as total error minimization NIPS 2021
The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020
Error Feedback Fixes SignSGD and other Gradient Compression Schemes ICML 2019