gingsmith / fmtlLinks
Federated Multi-Task Learning
☆130Updated 6 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☆143Updated 6 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆248Updated last year
- ☆168Updated 7 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- Attentive Federated Learning for Private NLM☆61Updated 10 months ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- ☆94Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆296Updated 3 years ago
- ☆26Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆213Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 5 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆77Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated last month
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 4 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- ☆23Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated last month
- This repository implements FEDL using pytorch☆54Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago