AIoT-MLSys-Lab / FedAIoT
[DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
☆49Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for FedAIoT
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆24Updated 6 months ago
- Code for ScaleFL☆29Updated last year
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated last year
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- A curated repository for various papers in the domain of split learning.☆42Updated 3 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 2 months ago
- Papers related to federated learning in top conferences (2020-2024).☆66Updated last month
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆32Updated last year
- [KDD 2023] FedMultimodal☆80Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆49Updated last year
- Four Federated learning datasets for Human Activity Recognition☆51Updated last year
- ☆10Updated 9 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆20Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆81Updated 9 months ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆34Updated last year
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆27Updated this week
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆67Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆36Updated 3 weeks ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆81Updated 2 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆55Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆38Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆63Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 8 months ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆67Updated 2 years ago
- ☆24Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆152Updated last year