Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
☆158Apr 30, 2022Updated 3 years ago
Alternatives and similar repositories for ditto
Users that are interested in ditto are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆54Jun 22, 2021Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Mar 16, 2021Updated 5 years ago
- ☆21May 11, 2022Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆122Oct 22, 2020Updated 5 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Dec 2, 2023Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- ☆19Feb 20, 2024Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆308Apr 18, 2022Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Apr 11, 2025Updated 11 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Oct 21, 2020Updated 5 years ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,089Jan 25, 2026Updated last month
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39May 28, 2024Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 5 months ago
- Tilted Empirical Risk Minimization (ICLR '21)☆61Nov 10, 2023Updated 2 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆44Apr 25, 2023Updated 2 years ago
- Personalized federated learning codebase for research☆414Oct 4, 2023Updated 2 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆725Mar 24, 2023Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆904Mar 24, 2023Updated 2 years ago
- Official Code for PACFL AAAI 2023☆45Aug 6, 2023Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆614Feb 26, 2024Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆19Nov 1, 2019Updated 6 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated last year
- ☆35May 23, 2021Updated 4 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆300Jun 27, 2022Updated 3 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆274Nov 13, 2025Updated 4 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- ☆164Dec 23, 2022Updated 3 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆197Feb 14, 2023Updated 3 years ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,965Oct 5, 2025Updated 5 months ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Jan 30, 2023Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- ☆17Aug 18, 2023Updated 2 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago