siabdullah4

Conference_Poster_template

FedClust

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

pgfed

This repository contains the code for the paper accepted by ICCV-2023: PGFed: Personalize Each Client’s Global Objective for Federated Learning.

MJFL-Simulation-paddle

Efficient Device Scheduling with Multi-Job Federated Learning

FlexiFed

FedBERT

FedBERT : A federated approach that enables clients with limited computing power to participate without compromising data privacy.

FL-bench_Personalization

Benchmark of federated learning. Dedicated to the community. 🤗

FLSim

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

ProxyFL

Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"

FedPETuning

SFL-Structural-Federated-Learning

IJCAI-Personalized Federated Learning with Graph

FedBFPT

iot-hd-reading-group

Collections of paper reviews in SEELab, related to IoT/HD/ML etc.

PFL-Non-IID

Personalized federated learning simulation platform with non-IID and unbalanced dataset

plato

A new scalable federated learning research framework

siabdullah4.github.io

Sirajul's personal website

Federated-learning-papers

Papers related to federated learning in top conferences (2020-2023).

CreamFL

[ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble

FCCL

CVPR2022 - Learn From Others and Be Yourself in Heterogeneous Federated Learning

FedZoo-Bench

FedZoo-Bench: An open source PyTorch libarary for federated learning with implementation of more than 22 algorithms

PerFedMask

data-science-interviews

Data science interview questions and answers

FedNH

Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.

FedALA

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

awesome-asynchronous-federated-learning

📦 Collect some Asynchronous Federated Learning papers.

REFL

Resource Efficient Federated Learning

FedRolex

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

Data-Science-Interview-Preperation-Resources

Resoruce to help you to prepare for your comming data science interviews

AsyncDrop__Release