k1l1 / SLTLinks
Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"
☆17Updated last year
Alternatives and similar repositories for SLT
Users that are interested in SLT are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆95Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆49Updated last year
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- ☆82Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆26Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆30Updated 3 years ago
- Code for ScaleFL☆31Updated last week
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Updated 2 years ago
- ☆26Updated 2 years ago
- Releasing the source code Version1.☆174Updated 4 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆60Updated 11 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆167Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆218Updated 3 weeks ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆21Updated 9 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆94Updated 2 years ago
- ☆182Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Resource Efficient Federated Learning☆25Updated 2 years ago