vinuni-vishc / fedDCT
FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks
☆34Updated last year
Related projects: ⓘ
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆77Updated 2 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆58Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- ☆14Updated 7 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆64Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆24Updated last year
- Official Code for PACFL AAAI 2023☆37Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆72Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆31Updated last year
- ☆23Updated 9 months ago
- Simplified Implementation of FedPAC☆48Updated 9 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆26Updated 11 months ago
- ☆26Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆30Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆48Updated 3 months ago
- SCAFFOLD and FedAvg implementation☆58Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆56Updated 2 years ago
- ☆37Updated 3 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆47Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆15Updated 4 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆60Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆39Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆52Updated last year
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆76Updated 7 months ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆24Updated 6 months ago
- ☆35Updated 6 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆45Updated last year