gingsmith / fmtlLinks
Federated Multi-Task Learning
☆131Updated 7 years ago
Alternatives and similar repositories for fmtl
Users that are interested in fmtl are comparing it to the libraries listed below
Sorting:
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- ☆169Updated 7 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆341Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- Attentive Federated Learning for Private NLM☆60Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- ☆26Updated 5 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆304Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- ☆96Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 7 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago
- ☆24Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆150Updated 3 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- On the Convergence of FedAvg on Non-IID Data☆270Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆179Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 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☆175Updated 2 years ago
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆194Updated 2 years ago