YongzheJia / DapperFLView external linksLinks
Official implementation of DapperFL.
☆13Oct 29, 2024Updated last year
Alternatives and similar repositories for DapperFL
Users that are interested in DapperFL are comparing it to the libraries listed below
Sorting:
- ☆15Dec 15, 2023Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆14Dec 16, 2023Updated 2 years ago
- Confidence-aware Personalized Federated Learning via Variational Expectation Maximization [Accepted at CVPR 2023]☆16Nov 8, 2023Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96May 9, 2022Updated 3 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆23Oct 10, 2023Updated 2 years ago
- ☆12Mar 16, 2025Updated 11 months ago
- Public WiFi Dataset☆16Jan 23, 2024Updated 2 years ago
- ☆18Nov 1, 2025Updated 3 months ago
- Dynamic class to manage Shift Register 74HC595 in Raspberry Pi using Python☆10Jul 10, 2017Updated 8 years ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- FastTrack4LLM 是一个为大模型学习者准备的大模型学习与实践框架,帮助他们轻松掌握大模型的核心原理与训练流程,让每个人都能真正理解大模型的内部机制。本项目不仅完整复现了 LLaMA、Qwen、DeepSeek 等主流开源大模型架构,还覆盖了大模型的全生命周期:To…☆23Nov 6, 2025Updated 3 months ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- [NeurIPS 2023] "FedFed: Feature Distillation against Data Heterogeneity in Federated Learning"☆118Nov 9, 2025Updated 3 months ago
- Follow up on support for new chipsets☆12May 9, 2021Updated 4 years ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆58Apr 17, 2025Updated 9 months ago
- Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing☆11Dec 18, 2022Updated 3 years ago
- ☆12May 14, 2024Updated last year
- VHDL Implementation☆13Oct 9, 2014Updated 11 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆14Jun 14, 2024Updated last year
- Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"☆11May 31, 2024Updated last year
- Pytorch implementations of some general federated optimization methods.☆52Oct 25, 2024Updated last year
- ☆11Jul 11, 2024Updated last year
- [CVPR2023] Practical Network Acceleration with Tiny Sets☆14Jul 28, 2023Updated 2 years ago
- ☆14Oct 12, 2024Updated last year
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year
- PFLoRA-lib: Personalized Federated Learning with LoRA Algorithm Library focusing on privacy-protection, federated-learning, Citation, Ext…☆14Sep 19, 2024Updated last year
- Official PyTorch implementation for the ICML 2023 paper "Out-of-Distribution Generalization of Federated Learning via Implicit Invariant …☆13Oct 31, 2023Updated 2 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation☆19Jun 11, 2025Updated 8 months ago
- ☆12Dec 26, 2024Updated last year
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Dec 4, 2023Updated 2 years ago
- Code for Adaptive Deep Neural Network Inference Optimization with EENet☆12Mar 28, 2024Updated last year
- This synthetic dataset represents a scenario of 10,000 interactions between different types of IoT devices and edge servers. if you want …☆13Jun 18, 2023Updated 2 years ago
- Code for Analyzing Redundancy in Pretrained Transformer Models accepted at EMNLP 2020☆14Oct 6, 2020Updated 5 years ago
- Pyhon code for my Towards Data Science articles☆13Jan 19, 2024Updated 2 years ago
- In this repo, I used some math and image manipulation skills to create my own reinforcement learning environnement for autonomous car☆13Jun 24, 2019Updated 6 years ago
- [AAAI 2023 Oral] Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training☆14Apr 19, 2023Updated 2 years ago
- Arithmetic Coding for Data Compression☆16Mar 9, 2018Updated 7 years ago