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:
- ☆80Updated 3 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆26Updated 2 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- Code for ScaleFL☆30Updated 2 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆19Updated 8 months ago
- Pytorch implementations of some general federated optimization methods.☆48Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆30Updated 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
- 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
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Updated 2 years ago
- 🎓Automatically Update Distributed Learning Papers Daily using Github Actions (Update Every 12th hours)☆43Updated this week
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆59Updated 11 months ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆10Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- ☆26Updated 2 years ago
- ☆14Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Resource Efficient Federated Learning☆24Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆23Updated 4 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆73Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- Releasing the source code Version1.☆173Updated 4 years ago
- ☆75Updated 5 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆53Updated 3 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆211Updated 2 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆179Updated 4 years ago