☆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
- Simulation codes for over-the-air federated learning via second-order optimization☆14Jan 27, 2022Updated 4 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 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
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11Feb 19, 2022Updated 4 years ago
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆26Nov 11, 2024Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Feb 23, 2023Updated 3 years ago
- An experimental platform for federated learning.☆634Jun 4, 2025Updated last year
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆13Apr 2, 2023Updated 3 years ago
- 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
- Codes for FedKD☆65Jul 18, 2022Updated 4 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆23Sep 15, 2023Updated 2 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.
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆17Jan 21, 2024Updated 2 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Jul 18, 2024Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆163Apr 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)☆28Apr 26, 2026Updated 4 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
- ☆11Jul 21, 2024Updated 2 years ago
- An object detection model for NMNIST larger video frame☆13Feb 24, 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
- 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.
- ☆17Oct 6, 2024Updated last year
- paper code commit-fsmafl☆10Mar 18, 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
- Code & data for "Towards flexible perception with visual memory" (ICML 2025)☆19Sep 24, 2024Updated last year
- huggingface dataset with remote download support☆19Jul 2, 2026Updated 2 months ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆118Dec 29, 2024Updated last year
- Apprentices in Federated Learning from ECNU <3☆25Mar 10, 2022Updated 4 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago
- ☆10Aug 19, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Label-Noise Learning with Intrinsically Long-Tailed Data(ICCV2023)☆20Sep 27, 2023Updated 2 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 4 years ago
- Implementation of DAG BFT protocols☆12Apr 7, 2022Updated 4 years ago
- ☆18Jul 15, 2026Updated last month
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆18Dec 9, 2020Updated 5 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 3 years ago
- 📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻☆15Jan 28, 2026Updated 7 months ago