☆28Jun 3, 2022Updated 4 years ago
Alternatives and similar repositories for Fed-MGDA
Users that are interested in Fed-MGDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 4 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆71Feb 27, 2023Updated 3 years ago
- ☆21Feb 25, 2024Updated 2 years ago
- ☆11Feb 19, 2022Updated 4 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Feb 23, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- An experimental platform for federated learning.☆634Jun 4, 2025Updated last year
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆44Jul 15, 2023Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆23Sep 15, 2023Updated 3 years ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆164Apr 30, 2022Updated 4 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆29Mar 16, 2024Updated 2 years ago
- 🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)☆27Apr 26, 2026Updated 5 months ago
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆69Mar 12, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Federated Bilevel Optimization☆15Jun 23, 2022Updated 4 years ago
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- NIRM: Dismantling Complex Networks by a Neural Model Trained from Tiny Networks☆15Aug 27, 2022Updated 4 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆76Dec 27, 2024Updated last year
- ☆17Oct 6, 2024Updated 2 years ago
- [ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler☆24Apr 24, 2024Updated 2 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago
- Label-Noise Learning with Intrinsically Long-Tailed Data（ICCV2023）☆20Sep 27, 2023Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of DAG BFT protocols☆12Apr 7, 2022Updated 4 years ago
- ☆18Jul 15, 2026Updated 2 months ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆18Dec 9, 2020Updated 5 years ago
- Quickly develop Chancode client applications based on SpringData and Hyperledger Fabric Chaincode SDK.☆11Jun 5, 2024Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 3 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Dec 4, 2022Updated 3 years ago
- An easy-to-use federated learning platform☆26Aug 23, 2023Updated 3 years ago
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆14Jul 26, 2023Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆150Nov 11, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆30Dec 22, 2022Updated 3 years ago
- Minimum work examples for "Linear Precoding based on Polynomial Expansion"☆13Oct 27, 2017Updated 8 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆28May 28, 2024Updated 2 years ago
- This is the code for paper “accelerating communication-efficient federated multi-task learning with personalization and Fairness”. Besid…☆11May 11, 2025Updated last year
- The codes to reproduce the simulation results for the work "An Unsupervised Deep Unrolling Framework for Constrained Optimization Problem…☆12Nov 19, 2023Updated 2 years ago
- Experiments on trade-off among optimization, generalization and conflict aversion in multi-objective learning (MOL), and introducing MoDo…☆15Oct 21, 2023Updated 2 years ago
- This work shows the viability of automatically generated attack graphs that are used for adversary behavior execution in industrial contr…☆12Jun 3, 2021Updated 5 years ago