HarukiYqM / All-In-One-Neural-CompositionLinks
PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)
☆19Updated 3 years ago
Alternatives and similar repositories for All-In-One-Neural-Composition
Users that are interested in All-In-One-Neural-Composition are comparing it to the libraries listed below
Sorting:
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated last year
- ☆83Updated 4 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆61Updated 2 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☆178Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- Code for ScaleFL☆33Updated last month
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆34Updated 3 years ago
- The is the official implementation of ICCV 2023 paper "No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Syn…☆27Updated 2 years ago
- ☆29Updated 2 years ago
- ☆164Updated 3 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆86Updated last year
- Simplified Implementation of FedPAC☆61Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Updated 3 years ago
- Pytorch implementations of some general federated optimization methods.☆51Updated last year
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]☆61Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆62Updated last year
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Updated 3 years ago
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Updated 2 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆17Updated 2 years ago
- Federated Learning - PyTorch☆15Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago