Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...
LC Circuits01:21

LC Circuits

An LC circuit consists of an inductor and a capacitor, either in series or parallel. Consider a charged capacitor connected with an inductor in series. Before the switch is closed, all the energy of the circuit is stored in the electric field of the capacitor. When the switch is closed, the capacitor begins to discharge, producing a current in the circuit. The current, in turn, creates a magnetic field in the inductor. Because of the induced emf in the inductor, the current cannot change...
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effects of dietary octapeptin supplementation on growth performance, intestinal morphology, immune function, and serum metabolism of weaned piglets.

Journal of animal science·2026
Same author

Trace Cu<sup>2+</sup>-Catalyzed Oxidative Fluorogenic Assay for Dopamine Imaging in Living Cells.

Analytical chemistry·2026
Same author

Correction: Hu et al. Dietary Net Energy Concentration Affects Growth Performance, Carcass Traits, Intramuscular Fatty Acid Profile, and Cecal Microbiota of Pigs with Restricted Feed Allowance. <i>Animals</i> 2025, <i>15</i>, 3514.

Animals : an open access journal from MDPI·2026
Same author

Light-Induced Charge Order Mode in a Metastable Cuprate Ladder.

Physical review letters·2026
Same author

Indole-3-carboxaldehyde from <i>Limosilactobacillus reuteri</i> targets the DUSP1/ERK/NOX2/ROS axis to enhance the bactericidal activity of macrophages and protects against sepsis.

Gut microbes·2026
Same author

I<sub>2</sub>-mediated oxidative dearomatization for the synthesis of spirooxindole-lactones in water.

Chemical communications (Cambridge, England)·2026
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: May 12, 2026

An Isolated Working Heart System for Large Animal Models
09:45

An Isolated Working Heart System for Large Animal Models

Published on: June 11, 2014

30.6K

LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training.

Xingyu Xie, Zhijie Lin, Kim-Chuan Toh

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Low-bit gradient communication speeds up large model training but can reduce quality. The Low-bit Communication Adaptor (LoCo) compensates gradients before compression, maintaining training quality and improving efficiency.

    More Related Videos

    A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
    11:32

    A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

    Published on: January 19, 2022

    3.3K
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475

    Related Experiment Videos

    Last Updated: May 12, 2026

    An Isolated Working Heart System for Large Animal Models
    09:45

    An Isolated Working Heart System for Large Animal Models

    Published on: June 11, 2014

    30.6K
    A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
    11:32

    A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

    Published on: January 19, 2022

    3.3K
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475

    Area of Science:

    • Artificial Intelligence
    • Machine Learning
    • Computer Science

    Background:

    • Low-bit gradient communication is crucial for efficient large-scale model training.
    • Gradient compression can lead to information loss and degraded training quality.

    Purpose of the Study:

    • To develop a method that enables efficient gradient compression without compromising training quality.
    • Introduce the Low-bit Communication Adaptor (LoCo) for enhanced gradient communication.

    Main Methods:

    • LoCo compensates gradients on local GPU nodes before compression.
    • Utilizes a moving average of historical compensation errors to estimate and correct concurrent compression errors.
    • Designed for compatibility with optimizers like Adam and sharding strategies like FSDP.

    Main Results:

    • LoCo achieves less lossless compression by compensating for gradient compression errors.
    • Theoretical analysis confirms no impairment to convergence speed for optimizers like Adam and SGD.
    • Experimental results show significant communication efficiency improvements (14%-40% speedup for Adam) in frameworks like Megatron-LM and PyTorch FSDP.

    Conclusions:

    • LoCo effectively enhances gradient synchronization efficiency in large-scale model training.
    • Maintains training quality and performance for large language models (LLAMAs, MoEs).
    • LoCo offers a practical solution for improving communication efficiency in distributed deep learning.