facebookresearch / FL_partial_personalizationLinks
Federated Learning with Partial Model Personalization
☆43Updated 3 years ago
Alternatives and similar repositories for FL_partial_personalization
Users that are interested in FL_partial_personalization are comparing it to the libraries listed below
Sorting:
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆48Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆40Updated 2 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
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆68Updated 2 years ago
- ☆43Updated 3 years ago
- ☆54Updated 4 years ago
- ☆22Updated 4 years ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆81Updated 3 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆84Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆21Updated 3 years ago
- Federated Learning Based Dynamic Regularization☆18Updated 4 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆27Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆59Updated 2 years ago
- ☆30Updated 4 years ago
- ☆29Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆87Updated 3 years ago
- ☆16Updated last year
- A Comprehensive and Versatile Open-Source Federated Learning Framework☆32Updated 2 years ago
- Federated Learning - PyTorch☆14Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 3 years ago