Benchmarking Semi-supervised Federated Learning
☆54Aug 14, 2022Updated 4 years ago
Alternatives and similar repositories for SSFL-Benchmarking-Semi-supervised-Federated-Learning
Users that are interested in SSFL-Benchmarking-Semi-supervised-Federated-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆81Apr 25, 2022Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 4 years ago
- CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning☆49Jul 7, 2022Updated 4 years ago
- Official implementation for MICCAI 2021 paper "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"☆51Jun 5, 2023Updated 3 years ago
- [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228☆20Jan 7, 2022Updated 4 years ago
- 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.
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Dec 11, 2020Updated 5 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆44Jul 19, 2023Updated 3 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆19Jan 11, 2021Updated 5 years ago
- Temporary Discriminator GAN☆14Jul 21, 2020Updated 6 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆230Oct 21, 2020Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Apr 11, 2025Updated last year
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆61May 9, 2023Updated 3 years ago
- ☆117Feb 27, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆125Aug 7, 2023Updated 3 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆50Aug 24, 2022Updated 4 years ago
- Federated posterior averaging implemented in JAX☆50Apr 13, 2023Updated 3 years ago
- PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""☆17Jul 19, 2022Updated 4 years ago
- ☆22Sep 6, 2021Updated 5 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆67Aug 28, 2023Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.☆17May 24, 2023Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Learning from history for Byzantine Robustness☆27Jun 11, 2021Updated 5 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Nov 7, 2022Updated 3 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Sep 10, 2020Updated 6 years ago
- ☆19Oct 18, 2022Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆618Feb 26, 2024Updated 2 years ago
- Paper list of federated learning: About system design☆13Apr 13, 2022Updated 4 years ago
- impelmentation of https://arxiv.org/pdf/2001.05647.pdf☆39Dec 3, 2020Updated 5 years ago
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Jul 31, 2022Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- ☆17Feb 14, 2021Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 4 years ago
- ☆26Apr 3, 2020Updated 6 years ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated 2 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆26Apr 14, 2023Updated 3 years ago