ebagdasa / federated_adaptation
Salvaging Federated Learning by Local Adaptation
☆56Updated 8 months ago
Alternatives and similar repositories for federated_adaptation:
Users that are interested in federated_adaptation are comparing it to the libraries listed below
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 5 years ago
- Attentive Federated Learning for Private NLM☆61Updated 8 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- ☆54Updated 3 years ago
- ☆26Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆25Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆32Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- ☆156Updated 2 years ago
- ☆14Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆152Updated 3 years ago
- ☆35Updated 3 years ago
- ☆28Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆235Updated 8 months ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆13Updated 8 months ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago