Statistics for topic federated-learning

Flower: A Friendly Federated AI Framework

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Code for Transfer Learning book--《迁移学习导论》配套代码

A curated list of references for MLOps

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

Code for Transfer Learning book--《迁移学习导论》配套代码

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

An experimental platform for federated learning.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Flower: A Friendly Federated AI Framework

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Code for Transfer Learning book--《迁移学习导论》配套代码

A curated list of references for MLOps

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...

Code for Transfer Learning book--《迁移学习导论》配套代码

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

An experimental platform for federated learning.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Flower: A Friendly Federated AI Framework

A curated list of references for MLOps

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

✨✨A curated list of latest advances on Foundation Models with Federated Learning

Homomorphic Encryption and Federated Learning based Privacy-Preserving

FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

Simulation framework for accelerating research in Private Federated Learning

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.

HeFlwr: Federated Learning for Heterogeneous Devices

A Git-like Version Control File System for Datasets Management in the Era of AI.

✨✨A curated list of latest advances on Foundation Models with Federated Learning

Flower: A Friendly Federated AI Framework

A curated list of references for MLOps

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on a...

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Federated learning framework made by researchers for researchers :)

Configure one file for model heterogeneity. Consistent GPU memory usage for single or multiple clients.

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

Material workbench for the master-level course CS-E4740 "Federated Learning"

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.