UbiquitousLearning / FwdLLM
☆16Updated 3 months ago
Related projects: ⓘ
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆30Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆32Updated last week
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated last year
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- Federated Learning - PyTorch☆15Updated 3 years ago
- Federated Learning Systems Paper List☆65Updated 7 months ago
- ☆55Updated last year
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- ☆42Updated 2 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆27Updated last year
- ☆29Updated 6 months ago
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆26Updated this week
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆76Updated 7 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆19Updated 2 years ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆54Updated 2 months ago
- ☆23Updated last year
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆12Updated this week
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆14Updated 10 months ago
- Code for ScaleFL☆29Updated last year
- Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.☆15Updated last year
- Federated Learning with Partial Model Personalization☆40Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆51Updated last year
- ☆12Updated last year
- ☆24Updated last year
- ✨✨A curated list of latest advances on Foundation Models with Federated Learning☆33Updated last week
- Federated Bilevel Optimization☆15Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆27Updated 2 years ago
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆17Updated 4 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆57Updated 3 weeks ago
- ☆24Updated this week