naderAsadi / FedAvg
Simple implementation of FedAvg, a Federated Learning algorithm.
☆20Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FedAvg
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆26Updated 5 months ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space☆21Updated last week
- [ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble☆91Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆38Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆26Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆78Updated last year
- ☆103Updated last year
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆79Updated 2 years ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆34Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆62Updated last year
- ☆31Updated 2 years ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆39Updated last week
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆111Updated last week
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆34Updated last year
- ☆43Updated 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 …☆12Updated last year
- FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition (AAAI 2022)☆14Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆38Updated last week
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆115Updated 2 years ago
- Official Code for PACFL AAAI 2023☆37Updated last year
- Code Implementation and Informations about FedAS☆16Updated 3 months ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago