RealRui's repositories
fed_cvae
Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.
FederatedScope
An easy-to-use federated learning platform
FedFed
[NeurIPS'23] FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
FedFormer
FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)
FEDORA
[FL-ICML 2023] Code for Federated Ensemble-Directed Offline Reinforcement Learning
FedOV
Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)
FedPAC
Simplified Implementation of FedPAC
FLASH-RL
FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy for client selection in Federated Learning using Reinforcement Learning to address heterogeneity problems.
FoodSAM
FoodSAM: Any Food Segmentation
ICCV-2023-FedETF
The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier".
ICML-2023-FedLAW
The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".
MarsFL
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
MaT-FL
[CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth Srinivasa, Myungjin Lee, Ramana Kompella, Zhangyang Wang
medperf
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
mufc
A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)
MultigraphFL
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology (ICCV 23)
PersonalizedFL
Personalized federated learning codebase for research
ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.