weichennone / FedMAX
Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
☆16Updated last year
Related projects: ⓘ
- ☆23Updated 9 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆79Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆67Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆15Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆31Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆11Updated 5 years ago
- ☆27Updated 3 years ago
- ☆16Updated 3 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆18Updated 2 years ago
- ☆26Updated last year
- ☆24Updated 3 years ago
- ☆22Updated 3 years ago
- ☆26Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 9 months ago
- fully ready experiments☆32Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆102Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated last year
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆14Updated last year
- SCAFFOLD and FedAvg implementation☆58Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆54Updated 11 months ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆55Updated last month
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Updated 2 years ago