Rene36
Doctoral candidate at the Technical University of Munich working on improving network overhead and privacy in federated learning systems.
TU MunichMunich
Pinned Repositories
FATE
An Industrial Grade Federated Learning Framework
FedML
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 any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
PaddleFL
Federated Deep Learning in PaddlePaddle
banking-system
Clean Code - Architecture 3 - Coding Example
GEDS
GEDS is a distributed ephemeral data store that enables flexible scaling of compute and storage. It uses a centralized name-node to store active objects and transparently integrates into S3-like object-stores.
GEDS-HDFS
An Apache Hadoop-based Java plugin that integrates GEDS with Apache Hadoop.
library-system
Clean Code - Classes 1 - Refactoring Example
tmh_client
tmh_server
fedn
FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.
Rene36's Repositories
Rene36/banking-system
Clean Code - Architecture 3 - Coding Example
Rene36/GEDS
GEDS is a distributed ephemeral data store that enables flexible scaling of compute and storage. It uses a centralized name-node to store active objects and transparently integrates into S3-like object-stores.
Rene36/GEDS-HDFS
An Apache Hadoop-based Java plugin that integrates GEDS with Apache Hadoop.
Rene36/library-system
Clean Code - Classes 1 - Refactoring Example
Rene36/tmh_client
Rene36/tmh_server