RealRui's repositories
cds
A Contribution-based Device Selection Scheme in Federated Learning. We propose a shapley-based calulation method to measure contribution from FL clients.
FedNTD
(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
FedRBN
[AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning
FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
Federated-Learning-with-ResNet-50-on-CIFAR-10
FedAvg, FedGKT, FedProx, Gradient Inversion Attack
FedNH
Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes
FedALA
AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
fedml-knee
Code for paper Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation
FedCLS
[ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
FedSH
The code of FedSH: Towards Privacy-preserving Text-based Person Re-Identification
CA-Fed
Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
FedGS-1
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.
PACFL
Official Code for PACFL AAAI 2023
FedML
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
flsim_v2
Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework
Active-Client-Selection-for-Communication-efficient-Federated-Learning
Active Client Selection for Federated Learning
FedStar
[AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
GREET
A PyTorch implementation of "Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating", AAAI-23
RealRui
Config files for my GitHub profile.
mdistiller-1
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679
multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study