xingyushu/FL_client_selection

Federated learning client selection

Python

FL_client_selection

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

FedCor:Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning

[OSDI]Oort: Efficient Federated Learning via Guided Participant Selection

A contribution-based client selection method

[ACM MobiCom 2022] " PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning"

[ICLR]Diverse Client Selection for Federated Learning via Submodular Maximization

Active Client Selection for Communication-efficient Federated Learning

FL_Particpant_selection_Bandwidth_Allocation_Based_Fixed_and_dynamic_deadline

FedSNN-ClientSelection

[ICLR2022]Divfl

Wireless/CSI related

Accelerate your WiFi CSI research progress by sharing and cooperation!

FEDL-INFOCOM [code]

Federated Learning in Wireless Network

Federated Learning Applications to Wireless Networks - A Demonstration

Segment-and-Track-Human-Using-Wireless-Signal

A deep learning-based activity segmentation framework for activity recognition using WiFi Channel State Information (CSI).

CSI-Activity-Recognition

Implementation in Python for the parsing of raw CSI data files.

wifi-csi process

WiFi-CSI-Sensing-Benchmark

Core codes on Fall detection with CSI data (WiFi signals)

Keystroke-recognition-of-Smart-Device-Based-on-WIFI

Source codes for "EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression

wifi-csi-sniffer

Attack/Fake/Forge

OFDM CSI for physical tamper attack detection.

Vulnerability and Protection of Channel State Informationin Multiuser MIMO Networks

On User Selective Eavesdropping Attacks in MU-MIMO: CSI Forgery and Countermeasure

Using Channel State Information for Physical Tamper Attack Detection inOFDM Systems: A Deep Learning Approach

Federated Learning Privacy and Robustness

Start:

Implementation of the vanilla federated learning paper : Communication-Efficient Learning of Deep Networks from Decentralized Data.

Federated-learning

Federated-Averaging-PyTorch

Pytorch from zero to one

Federated Learning papers

Federated learning papers

Sample code:

FL with different client selection algo.

preliminary

Accuracy-and-loss

Gradient-descent

Dataset

CSI-Activity-Recognition data

Dataset_for_Human_Activity_Recognition_using_Wi-Fi_Channel_State_Information_CSI

csi-visualization