GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
distributed-machine-learning communication-efficient geomx hierarchical-parameter-server dml-over-wans
- Updated
- C++
#
communication-efficient
Here are 16 public repositories matching this topic...
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)
- Updated
- Python
Main Stooa's repository. The online fishbowl tool.
open-source agile collaborative employee-experience organizations communication-application educational-institutions unconference fishbowl facilitation communication-efficient online-events
- Updated
- TypeScript
CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
generative-model resnet heterogeneity federated-learning communication-efficient stylegan colloboration vision-transformer domain-alignment stable-diffusion non-iid-data large-small-model
- Updated
- Python
AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
prototype resnet heterogeneity federated-learning communication-efficient colloboration contrastive-learning vision-transformer non-iid-data
- Updated
- Python
Event-Triggered Communication in Parallel Machine Learning
machine-learning mpi pytorch distributed-machine-learning communication-efficient parallel-machine-learning
- Updated
- C++
Atomo: Communication-efficient Learning via Atomic Sparsification
- Updated
- Python
[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
- Updated
- Python
The implementation of "Two-Stream Federated Learning: Reduce the Communication Costs" (VCIP 2018)
- Updated
- Python
A project that investigated, designed and evaluated different methods to reduce overall up-link communication (client -> server) during federated learning
deep-learning google-cloud-platform federated-learning communication-efficient tensorflow-federated-learning
- Updated
- Python
Federated Split Learning via Smashed Activation Gradient Estimation
- Updated
- Python
Code for the paper "A Quadratic Synchronization Rule for Distributed Deep Learning"
- Updated
- Python
FedAnil++ is a Privacy-Preserving and Communication-Efficient Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil++ written in Python.
blockchain accuracy homomorphic-encryption privacy-preserving federated-learning privacy-preserving-machine-learning communication-efficient poisoning-attacks non-iid-data inference-attacks intelligent-enterprises
- Updated
- Python
Communication-Efficient Stratified Stochastic Gradient Descent for Distributed Matrix Completion
hpc mpi collaborative-filtering recommender-systems matrix-completion stochastic-gradient-descent combinatorial communication-efficient
- Updated
- C
This project provides a computation and communication efficient approach for federated learning based urban sensing applications against inference attacks
python3 big-data-analytics federated-learning communication-efficient privacy-preserving-computing urban-sensing geolife-dataset inference-attacks
- Updated
- Jupyter Notebook
📚 Build and manage courses with the ACME Learning Center, featuring a responsive design, international support, and user-friendly navigation.
learning tutorial deep-learning tensorflow scraping keras knowledge-graph drug-design dvrk cost-optimization experience-replay deepq-learning communication-efficient therapeutics medical-robotics indications-and-warning hierarchical-parameter-server dml-over-wans
- Updated
- JavaScript
Improve this page
Add a description, image, and links to the communication-efficient topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the communication-efficient topic, visit your repo's landing page and select "manage topics."