ebagdasa / federated_adaptation
Salvaging Federated Learning by Local Adaptation
☆56Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for federated_adaptation
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆140Updated 5 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆80Updated 4 years ago
- Attentive Federated Learning for Private NLM☆60Updated 3 months ago
- ☆55Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆105Updated 4 years ago
- ☆26Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆17Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆21Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- ☆23Updated 11 months ago
- ☆14Updated 10 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆100Updated 3 years ago
- ☆155Updated last year
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆72Updated 3 years ago
- ☆12Updated 3 years ago
- Federated Multi-Task Learning☆129Updated 6 years ago
- ☆28Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆90Updated 3 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated last year