[ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.
☆71Jul 25, 2022Updated 3 years ago
Alternatives and similar repositories for PyramidFL
Users that are interested in PyramidFL are comparing it to the libraries listed below
Sorting:
- [USENIX NSDI 2022] "CurvingLoRa to Boost LoRa Network Throughput via Concurrent Transmission" by Chenning Li, Xiuzhen Guo, Longfei Shangg…☆12Nov 27, 2022Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆48Feb 11, 2023Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆133Oct 27, 2021Updated 4 years ago
- [SenSys 2021] "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" by Chenning Li, Hanqing Guo, Shuai Ton…☆32Nov 24, 2021Updated 4 years ago
- template for https://cnli.me☆10Feb 27, 2025Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆34Aug 3, 2022Updated 3 years ago
- Federated learning client selection☆22Feb 27, 2023Updated 3 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆410Dec 18, 2023Updated 2 years ago
- Four Federated learning datasets for Human Activity Recognition☆57Jul 8, 2023Updated 2 years ago
- Federated Learning Systems Paper List☆75Feb 7, 2024Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Jun 30, 2022Updated 3 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Apr 4, 2023Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 2 years ago
- Active Client Selection for Federated Learning☆50Apr 18, 2023Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- ☆33May 14, 2022Updated 3 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 3 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Jan 9, 2023Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- Apprentices in Federated Learning from ECNU <3☆25Mar 10, 2022Updated 3 years ago
- [ACM SIGCOMM 2024] "m3: Accurate Flow-Level Performance Estimation using Machine Learning" by Chenning Li, Arash Nasr-Esfahany, Kevin Zha…☆25Oct 2, 2024Updated last year
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Jul 1, 2022Updated 3 years ago
- 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
- ☆72Dec 8, 2025Updated 2 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- Official codes for ACM CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction☆21Feb 21, 2025Updated last year
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Aug 2, 2022Updated 3 years ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆17Jan 4, 2023Updated 3 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Jul 22, 2022Updated 3 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,065Jan 25, 2026Updated last month
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Feb 26, 2024Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆88Mar 22, 2022Updated 3 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆59Mar 28, 2023Updated 2 years ago
- ☆14Mar 13, 2023Updated 2 years ago
- ☆48Jun 2, 2022Updated 3 years ago