Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
☆24May 22, 2024Updated 2 years ago
Alternatives and similar repositories for FedCompress
Users that are interested in FedCompress are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Dec 26, 2024Updated last year
- Codes for paper "ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations"☆17May 22, 2024Updated 2 years ago
- Federated Self-Training for Data-Efficient Audio Recognition☆10May 7, 2022Updated 4 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- Simulation codes for over-the-air federated learning via second-order optimization☆14Jan 27, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Jun 26, 2022Updated 4 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆21Feb 19, 2025Updated last year
- ☆11May 29, 2023Updated 3 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Oct 26, 2023Updated 2 years ago
- ☆21Sep 20, 2022Updated 4 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆17Feb 2, 2024Updated 2 years ago
- Clustered Federated Learning via Gradient-based Partitioning (ICML 2024)☆15Jun 15, 2025Updated last year
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Jul 16, 2024Updated 2 years ago
- Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, an…☆15Feb 10, 2024Updated 2 years ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning (ACSAC 2024)☆15Aug 21, 2025Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆95May 9, 2022Updated 4 years ago
- Secure and Scalable Federated Learning using Serverless Computing☆14Jan 31, 2024Updated 2 years ago
- ☆25Apr 4, 2025Updated last year
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 9 months 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [TMC 2024 Top 15 Popular Article] FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence☆94Feb 7, 2026Updated 8 months ago
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆15Dec 26, 2024Updated last year
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆40Oct 7, 2021Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆17Jan 11, 2024Updated 2 years ago
- 机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格…☆10Feb 25, 2020Updated 6 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆16Jun 14, 2024Updated 2 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated 2 years ago
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆14Apr 3, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆184Feb 27, 2023Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated 2 years ago
- ☆37Oct 10, 2025Updated last year
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Sep 12, 2021Updated 5 years ago
- Implementation of SNAIL(A Simple Neural Attentive Meta-Learner) with Gluon☆12Feb 22, 2019Updated 7 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 7 months ago