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 ⓘ
Alternatives and complementary repositories for FedMAX
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆17Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆80Updated 4 years ago
- ☆25Updated 3 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆13Updated 3 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆20Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- ☆23Updated 11 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago
- ☆27Updated last year
- ☆55Updated 3 years ago
- ☆18Updated 2 years ago
- ☆36Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆105Updated 4 years ago
- ☆28Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- fully ready experiments☆33Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 3 months ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆14Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- The code in order to implement FedProx (ICPP 2020)☆28Updated 4 years ago
- ☆68Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆40Updated 3 years ago
- ☆26Updated 4 years ago
- ☆30Updated 2 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆71Updated 4 years ago