Statistics for topic federated-learning

A curated list of references for MLOps

Flower: A Friendly Federated Learning Framework

Perform data science on data that remains in someone else's server

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

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

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

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...

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

Simulation framework for accelerating research in Private Federated Learning

机器学习和差分隐私的论文笔记和代码仓

A curated list of references for MLOps

Flower: A Friendly Federated Learning Framework

Perform data science on data that remains in someone else's server

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

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

PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning

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

Awesome Federated Unlearning (FU) Papers (Continually Update)

Simulation Codes for "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach"

Benchmark of federated learning. Dedicated to the community. 🤗

A curated list of references for MLOps

Flower: A Friendly Federated Learning Framework

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

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

Perform data science on data that remains in someone else's server

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

Active Client Selection for Federated Learning

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

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

The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".

The first open Federated Learning framework implemented in C++ and Python.

Simulation framework for accelerating research in Private Federated Learning

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

Kuscia(Kubernetes-based Secure Collaborative InfrA) is a K8s-based privacy-preserving computing task orchestration framework.

Awesome Federated Unlearning (FU) Papers (Continually Update)

A curated list of references for MLOps

Flower: A Friendly Federated Learning Framework

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...

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

A unified framework for privacy-preserving data analysis and machine learning

FedMultimodal

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone a...

NAACL '24 (Demo) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

Active Client Selection for Federated Learning

Benchmark of federated learning. Dedicated to the community. 🤗