☆28Jun 3, 2022Updated 3 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 3 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…☆70Feb 27, 2023Updated 3 years ago
- ☆20Feb 25, 2024Updated 2 years ago
- ICCV 2023 accepted paper, GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning☆25Nov 11, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Feb 23, 2023Updated 3 years ago
- Official implementation of the paper "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heter…☆15Jan 21, 2024Updated 2 years ago
- An experimental platform for federated learning.☆628Jun 4, 2025Updated 11 months ago
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆13Apr 2, 2023Updated 3 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Jul 18, 2024Updated last year
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Sep 15, 2023Updated 2 years ago
- Codes for FedKD☆62Jul 18, 2022Updated 3 years ago
- ☆17Apr 27, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An easy-to-use federated learning platform☆25Aug 23, 2023Updated 2 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆27Mar 16, 2024Updated 2 years ago
- 🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)☆27Apr 26, 2026Updated last week
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆68Mar 12, 2025Updated last year
- ☆11Jul 21, 2024Updated last year
- 📖 A self-contained course to learn the basics of neural networks: from backprop to GPT! 🌻☆14Jan 28, 2026Updated 3 months ago
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- Federated Bilevel Optimization☆16Jun 23, 2022Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- paper code commit-fsmafl☆10Mar 18, 2024Updated 2 years ago
- CVPR2023 - Rethinking Federated Learning with Domain Shift: A Prototype View☆116Dec 29, 2024Updated last year
- ☆10Aug 19, 2023Updated 2 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Nov 7, 2022Updated 3 years ago
- 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 3 years ago
- Implementation of DAG BFT protocols☆11Apr 7, 2022Updated 4 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Apr 25, 2023Updated 3 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.
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆14Jul 26, 2023Updated 2 years ago
- Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…☆15Sep 19, 2017Updated 8 years ago
- [TMI' 23] FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting☆14Mar 11, 2023Updated 3 years ago
- ☆11Apr 4, 2022Updated 4 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆17Dec 9, 2020Updated 5 years ago
- A Survey on Vulnerability of Federated Learning: An Algorithm Perspective☆18May 30, 2024Updated last year
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆20Feb 24, 2026Updated 2 months ago