[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
☆47Apr 12, 2023Updated 2 years ago
Alternatives and similar repositories for SplitMix
Users that are interested in SplitMix are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year
- ☆16Feb 28, 2023Updated 3 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆182Feb 27, 2023Updated 3 years ago
- ☆13Jan 16, 2025Updated last year
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Jul 7, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- This repository includes the official project of SplitAVG, from our paper "SplitAVG: A heterogeneity-aware federated deep learning method…☆22Dec 9, 2023Updated 2 years ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆28Feb 23, 2023Updated 3 years ago
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Feb 23, 2023Updated 3 years ago
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 6 years ago
- Releasing the source code Version1.☆182Sep 16, 2021Updated 4 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆15Jul 23, 2023Updated 2 years ago
- PyTorch implementation of ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Paral…☆17Oct 24, 2017Updated 8 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- ☆15Jul 13, 2021Updated 4 years ago
- ☆23Nov 1, 2025Updated 5 months ago
- ☆27Feb 26, 2023Updated 3 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆15Jun 14, 2024Updated last year
- Applied Split Learning in PyTorch with torch.distributed.rpc and torch.distributed.autograd☆27Jan 24, 2022Updated 4 years ago
- Investigating Split Learning and Federate Learning☆88May 25, 2020Updated 5 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- This repository contains the code for the paper accepted by IJCAI-2022: Adapt to Adaptation: Learning Personalization for Cross-Silo Fede…☆12Sep 2, 2022Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆61Apr 17, 2025Updated 11 months ago
- ☆52Dec 31, 2024Updated last year
- ☆18Jul 20, 2022Updated 3 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Feb 9, 2023Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- ☆33May 14, 2022Updated 3 years ago
- ☆15Dec 15, 2023Updated 2 years ago
- 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.
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 4 years ago
- ☆20Jan 18, 2022Updated 4 years ago
- A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)☆19Mar 8, 2022Updated 4 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Mar 14, 2024Updated 2 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆299Jun 27, 2022Updated 3 years ago
- This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?☆13May 31, 2023Updated 2 years ago
- ☆54Jun 22, 2021Updated 4 years ago