Sapienza-University-Rome / FedArtML
Federated Learning for Artificial Intelligence and Machine Learning
☆16Updated 10 months ago
Alternatives and similar repositories for FedArtML:
Users that are interested in FedArtML are comparing it to the libraries listed below
- ☆93Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- fully ready experiments☆36Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆41Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆160Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆112Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆118Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆49Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆166Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆68Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆66Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆67Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 7 months ago
- FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms☆17Updated this week
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆75Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆51Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆141Updated 2 years ago
- Official Code for PACFL AAAI 2023☆40Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 6 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆106Updated 3 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year