Official Code for PACFL AAAI 2023
☆45Aug 6, 2023Updated 2 years ago
Alternatives and similar repositories for PACFL
Users that are interested in PACFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- ☆35May 23, 2021Updated 5 years ago
- Similarity Guided Model Aggregation for Federated Learning☆26Mar 22, 2022Updated 4 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆20Apr 28, 2022Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆123Oct 22, 2020Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 2024Updated 2 years ago
- 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
- Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation☆29May 22, 2023Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆161Apr 30, 2022Updated 4 years ago
- fully ready experiments☆40Jul 18, 2022Updated 3 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 2 years ago
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆12Jun 7, 2024Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆92Sep 10, 2024Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆616Feb 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.
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆12Dec 17, 2024Updated last year
- ☆24Sep 2, 2023Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆24Apr 3, 2021Updated 5 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- ☆13Jan 16, 2024Updated 2 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 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.
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆30Oct 27, 2023Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆57Oct 25, 2024Updated last year
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 5 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆28Mar 16, 2024Updated 2 years ago
- ☆13Jan 12, 2024Updated 2 years ago
- Code Implementation and Informations about FedAS☆36Feb 4, 2025Updated last year
- Official repository for the paper DL2PA: Hyperspherical Classification with Dynamic Label-to-Prototype Assignment (CVPR 2024).☆14Jul 19, 2024Updated last year
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,132Jan 25, 2026Updated 4 months ago
- ☆17Aug 5, 2024Updated last year
- 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.
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆20Dec 24, 2023Updated 2 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆62May 9, 2023Updated 3 years ago
- ☆53Jun 22, 2021Updated 4 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Dec 2, 2021Updated 4 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- ☆53May 19, 2022Updated 4 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago