SamsungLabs / ordered_dropout
Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout", NeurIPS'21
☆11Updated 2 years ago
Alternatives and similar repositories for ordered_dropout:
Users that are interested in ordered_dropout are comparing it to the libraries listed below
- Code for ScaleFL☆31Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆39Updated 5 months ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆84Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 7 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- ☆77Updated 3 years ago
- Simplified Implementation of FedPAC☆55Updated last year
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆16Updated last year
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with …☆12Updated last year
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆55Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆48Updated 3 months ago
- ☆9Updated 2 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆85Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆42Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆56Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆17Updated last year
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Updated last year
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆14Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 3 years ago
- ☆11Updated last year