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asyncdrop__release

awesome-asynchronous-federated-learning

📦 Collect some Asynchronous Federated Learning papers.

awesome-phd-advice

Collection of advice for prospective and current PhD students

cfed

cfmtl

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

collaborativefairfederatedlearning

Official implementation of our work "Collaborative Fairness in Federated Learning."

communication-in-cross-silo-fl

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

creamfl

[ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble

data-science-interview-preperation-resources

Resoruce to help you to prepare for your comming data science interviews

data-science-interviews

Data science interview questions and answers

decentralized-routability-estimation

deep-learning-materials

dispfl

[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"

ditto

Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)

divfl

Diverse Client Selection for Federated Learning via Submodular Maximization

easyfl

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

fair-fate

FAIR-FATE: Fair Federated Learning with Momentum

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

fccl

CVPR2022 - Learn From Others and Be Yourself in Heterogeneous Federated Learning

fcfl

fedala

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

fedalign

Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]

fedavg

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

fedavg-jn

fedavg-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fedavgpy

On the Convergence of FedAvg on Non-IID Data

fedbert

FedBERT : A federated approach that enables clients with limited computing power to participate without compromising data privacy.

fedbfpt

fedclust