vinuni-vishc / fedDCT
FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
☆34Updated last year
Related projects ⓘ
Alternatives and complementary repositories for fedDCT
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago
- Official Code for PACFL AAAI 2023☆37Updated last year
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- Similarity Guided Model Aggregation for Federated Learning☆22Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- ☆23Updated 11 months ago
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆25Updated last week
- ☆52Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆67Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆27Updated 2 years ago
- ☆27Updated last year
- ☆28Updated 3 years ago
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆16Updated last year
- ☆36Updated 3 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆77Updated last year
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆38Updated last week
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆62Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- ☆31Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆14Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year