qiqi-helloworld / ABSGDLinks
Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951
☆11Updated 2 years ago
Alternatives and similar repositories for ABSGD
Users that are interested in ABSGD are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- Code Repository for ICML 2020 accepted paper, named "A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Le…☆12Updated 3 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Updated 3 years ago
- ☆19Updated last year
- Personalized Federated Learning under Mixture of Distributions☆19Updated last year
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.☆10Updated last year
- ☆13Updated 3 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Updated 2 years ago
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆10Updated 3 years ago
- ☆40Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Updated 2 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆20Updated 2 years ago
- Early exit ensembles☆12Updated 3 years ago
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- ☆73Updated 3 years ago
- ☆13Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- ☆29Updated 3 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Updated 2 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated last year
- Source code of our ICML 2025 paper "Flowing Datasets with Wasserstein over Wasserstein Gradient Flows"☆15Updated 6 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆57Updated 3 years ago
- [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"☆21Updated 3 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 4 years ago