Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"
☆46Dec 3, 2023Updated 2 years ago
Alternatives and similar repositories for Self-Balancing-Federated-Learning
Users that are interested in Self-Balancing-Federated-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆14Sep 12, 2023Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆28Nov 6, 2024Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆123Oct 22, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Nov 7, 2022Updated 3 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition (AAAI 2022)☆15Oct 8, 2022Updated 3 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Jul 22, 2022Updated 3 years ago
- Repository for transfer learning for anomaly detection.☆15Nov 28, 2019Updated 6 years ago
- For distributed machine learning☆30Mar 2, 2026Updated 2 months ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆615Feb 26, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆19Jan 25, 2022Updated 4 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆54Mar 21, 2022Updated 4 years ago
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Oct 5, 2024Updated last year
- Experimental Code for Private Decision Tree Evaluation☆16Mar 26, 2026Updated last month
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated 6 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆299Jun 27, 2022Updated 3 years ago
- ☆30Jan 17, 2024Updated 2 years ago
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆16May 27, 2020Updated 5 years ago
- Attentive Federated Learning for Private NLM☆61Jul 25, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆194Apr 11, 2025Updated last year
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- Towards model-agnostic federated learning using knowledge distillation, ICLR 2022☆10Mar 12, 2022Updated 4 years ago
- ☆30Jan 22, 2023Updated 3 years ago
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Jun 5, 2021Updated 4 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆29Nov 23, 2022Updated 3 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Apr 22, 2021Updated 5 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆37Nov 28, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Jun 2, 2022Updated 3 years ago
- ☆31Apr 8, 2020Updated 6 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆80Feb 27, 2022Updated 4 years ago
- Work in progress LLM framework.☆15Oct 31, 2024Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 4 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆35Dec 11, 2022Updated 3 years ago