[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
☆23Oct 17, 2022Updated 3 years ago
Alternatives and similar repositories for ProgFed
Users that are interested in ProgFed are comparing it to the libraries listed below
Sorting:
- ☆12Dec 26, 2024Updated last year
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- wx☆11Aug 14, 2022Updated 3 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆30Feb 10, 2023Updated 3 years ago
- Paper list of federated learning: About system design☆13Apr 13, 2022Updated 3 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆14Oct 27, 2023Updated 2 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Aug 2, 2022Updated 3 years ago
- Federated Dynamic Sparse Training☆32May 26, 2022Updated 3 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆42Jul 19, 2023Updated 2 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Dec 1, 2022Updated 3 years ago
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Sep 12, 2021Updated 4 years ago
- ☆30Jun 3, 2022Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Jul 12, 2022Updated 3 years ago
- Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning☆15Apr 25, 2024Updated last year
- 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
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆87Jun 6, 2020Updated 5 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Nov 24, 2022Updated 3 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Mar 24, 2022Updated 3 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆17Aug 14, 2023Updated 2 years ago
- Code for ScaleFL☆34Dec 11, 2025Updated 2 months ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Jun 30, 2023Updated 2 years ago
- ☆14Mar 13, 2023Updated 2 years ago
- Personal blog + reading notes on system-ish papers☆15Oct 29, 2023Updated 2 years ago
- FedGH: Heterogeneous Federated Learning with Generalized Global Header (MM'23)☆16Aug 6, 2023Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Aug 30, 2021Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- Private and Reliable Neural Network Inference (CCS '22)☆22Jul 11, 2023Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 4 years ago
- ☆22Sep 6, 2021Updated 4 years ago
- demo☆20Jun 29, 2021Updated 4 years ago
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆43Apr 25, 2023Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆134Oct 27, 2021Updated 4 years ago