2024 journal article
Magnitude Matters: Fixing signSGD Through Magnitude-Aware Sparsification and Error Feedback in the Presence of Data Heterogeneity
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 72, 5140–5155.
author keywords: Training; Convergence; Servers; Quantization (signal); Vectors; Training data; Signal processing algorithms; Data heterogeneity; federated learning; gradient compression; sparsification
topics (OpenAlex): Robotics and Sensor-Based Localization; Medical Image Segmentation Techniques; Gait Recognition and Analysis
Source: Web Of Science
Added: November 25, 2024