weichennone / FedMAXLinks
Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning
☆16Updated 2 years ago
Alternatives and similar repositories for FedMAX
Users that are interested in FedMAX are comparing it to the libraries listed below
Sorting:
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- ☆54Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Updated 5 years ago
- ☆162Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- ☆15Updated last year
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 5 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- ☆30Updated 4 years ago
- ☆96Updated 4 years ago
- ☆23Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 6 years ago
- ☆35Updated 4 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 2 years ago
- ☆26Updated 5 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago