officialarijit / DFLLinks
A Docker-Based Federated Learning Framework Design and Deployment for Multi-modal Data Stream Classification
☆13Updated last year
Alternatives and similar repositories for DFL
Users that are interested in DFL are comparing it to the libraries listed below
Sorting:
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆24Updated 3 years ago
- DFL working group☆32Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- NeurIPS 2023 accepted paper, Eliminating Domain Bias for Federated Learning in Representation Space☆23Updated 9 months ago
- ☆26Updated 2 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆88Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆168Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- ☆178Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆142Updated last week
- fully ready experiments☆38Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆115Updated 4 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆18Updated 2 years ago
- ☆19Updated 5 years ago
- ☆162Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year
- Code and data accompanying the FedGen paper☆256Updated last year
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆27Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆153Updated 10 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago