yjlee22 / CyclicAggregation
PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CyclicAggregation
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆77Updated last year
- Simplified Implementation of FedPAC☆48Updated 11 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆41Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆81Updated last year
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆62Updated last year
- fully ready experiments☆33Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- Pytorch implementations of some general federated optimization methods.☆36Updated 3 weeks ago
- ☆55Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- ☆73Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆65Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- ☆68Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- ☆41Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year
- ☆14Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆67Updated 2 years ago
- ☆53Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 3 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago
- FedAvg, FedGKT, FedProx, Gradient Inversion Attack☆13Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago