[ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
☆29Mar 7, 2024Updated 2 years ago
Alternatives and similar repositories for FedBR
Users that are interested in FedBR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆65Aug 28, 2023Updated 2 years ago
- 【CVPR 2023】Learning Federated Visual Prompt in Null Space for MRI Reconstruction☆48Apr 1, 2023Updated 3 years ago
- ☆29May 26, 2023Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆19Jan 2, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- Federated Bilevel Optimization☆16Jun 23, 2022Updated 3 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- ☆16Mar 6, 2024Updated 2 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆18Jan 10, 2024Updated 2 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆15Jul 23, 2023Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Feb 27, 2023Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆57Aug 15, 2023Updated 2 years ago
- ☆20May 28, 2025Updated 11 months ago
- 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.
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Sep 2, 2022Updated 3 years ago
- [NeurIPS 2024] Efficiency for Free: Ideal Data Are Transportable Representations☆19Jan 19, 2025Updated last year
- Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model☆13Feb 11, 2025Updated last year
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Mar 28, 2023Updated 3 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆15Jun 9, 2023Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆90Mar 22, 2022Updated 4 years ago
- ☆72Dec 8, 2025Updated 4 months ago
- 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.
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆47Feb 16, 2023Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 4 months ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Sep 19, 2023Updated 2 years ago
- Analysis of evidential models☆15Jun 22, 2023Updated 2 years ago
- ☆18Mar 12, 2024Updated 2 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Aug 16, 2023Updated 2 years ago
- The implementation of FedCADO (Classifier-Assisted Diffusion for One-shot Federated learning method)☆12Sep 10, 2025Updated 7 months 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.
- This is the official repository of L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representat…☆12May 20, 2024Updated last year
- Official implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022☆21Mar 12, 2024Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Feb 11, 2023Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆20Dec 17, 2023Updated 2 years ago
- ☆31Mar 12, 2023Updated 3 years ago