Divyansh03 / FedFisher
Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, and Gauri Joshi, published in AISTATS 2024.
☆12Updated last year
Alternatives and similar repositories for FedFisher:
Users that are interested in FedFisher are comparing it to the libraries listed below
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆85Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆60Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆25Updated last year
- Simplified Implementation of FedPAC☆55Updated last year
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆69Updated 2 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Updated 8 months ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆51Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 7 months ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆27Updated last year
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- ☆47Updated 3 months ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆146Updated 2 years ago
- Code Implementation and Informations about FedAS☆22Updated last month
- ☆33Updated 3 years ago
- ☆40Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆83Updated 3 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆52Updated 3 weeks ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆55Updated last year
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆21Updated 8 months ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space☆21Updated last week