☆120Aug 14, 2024Updated last year
Alternatives and similar repositories for FedLLM-Bench
Users that are interested in FedLLM-Bench are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆467Dec 12, 2024Updated last year
- ☆38Dec 5, 2025Updated 5 months ago
- This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuousl…☆103Jul 17, 2025Updated 9 months ago
- [AAMAS 2025] Privacy-preserving and Personalized RLHF, with convergence guarantees. The Code contains experiments for training multiple i…☆16Apr 16, 2025Updated last year
- ☆17Oct 12, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆72Dec 8, 2025Updated 4 months ago
- The official implantation of SGPT (CVPR2024)☆18Jul 15, 2024Updated last year
- [AAAI 2024] FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning☆66Jan 21, 2024Updated 2 years ago
- Implementation of the MATRIX framework (ICML 2024)☆60May 6, 2024Updated 2 years ago
- ☆116Jan 2, 2025Updated last year
- An official implementation of "FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model", which has been accepted by KDD'2…☆61Mar 3, 2025Updated last year
- CVPR 2024 accepted paper, An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in He…☆68Mar 12, 2025Updated last year
- Shepherd: A foundational framework enabling federated instruction tuning for large language models☆248Jul 7, 2023Updated 2 years ago
- Contains the source code of our Middleware'24 paper "QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation"☆15Oct 2, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ✨✨A curated list of latest advances on Large Foundation Models with Federated Learning☆153Jan 21, 2026Updated 3 months ago
- Code for "Thinking Forward: Memory-Efficient Federated Finetuning of Language Models" (NeurIPS 2024). Spry is a federated learning al…☆12Oct 8, 2024Updated last year
- ☆19Nov 18, 2023Updated 2 years ago
- ☆68Jun 2, 2023Updated 2 years ago
- ☆18Mar 12, 2024Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Jun 14, 2023Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆68Dec 27, 2024Updated last year
- [ICLR2024] HEAL: An Extensible Framework for Open Heterogeneous Collaborative Perception ➡️ All You Need for Multi-Modality Collaborative…☆229Jan 1, 2025Updated last year
- The implement of FedCyBGD☆12Jul 19, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆28May 30, 2025Updated 11 months ago
- ☆209Mar 3, 2023Updated 3 years ago
- ☆11Dec 4, 2025Updated 5 months ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆39Jan 30, 2023Updated 3 years ago
- [CVPR2023] EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning☆138Jun 21, 2023Updated 2 years ago
- PFLoRA-lib: Personalized Federated Learning with LoRA Algorithm Library focusing on privacy-protection, federated-learning, Citation, Ext…☆14Sep 19, 2024Updated last year
- ☆42Feb 8, 2026Updated 2 months ago
- Latest Advances on Federated LLM Learning☆110Jul 7, 2025Updated 9 months ago
- ☆180Sep 11, 2025Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 5 months ago
- ☆73Aug 23, 2022Updated 3 years ago
- ☆13May 11, 2023Updated 2 years ago
- [CVPR22] GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning☆141Feb 11, 2023Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆231Apr 23, 2026Updated last week
- Source code of FedPrompt☆16May 4, 2022Updated 4 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 5 months ago