Thinklab-SJTU / GAMFLinks
☆19Updated 2 years ago
Alternatives and similar repositories for GAMF
Users that are interested in GAMF are comparing it to the libraries listed below
Sorting:
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 3 years ago
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- ☆28Updated last year
- Federated Learning - PyTorch☆14Updated 4 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- ☆10Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆14Updated 3 years ago
- ☆20Updated 4 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆45Updated 2 years ago
- Code for Double Blind CollaborativeLearning (DBCL)☆14Updated 4 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 2 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated last year
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- ☆22Updated 4 years ago
- ☆12Updated last year
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆29Updated 9 months ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- ☆18Updated 3 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆21Updated 3 years ago