anupamkliv/FedERA

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive sup- port for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

Jupyter NotebookPythonDockerfilepythonframeworkdeep-learninggrpcpytorchcarbon-emissionsedge-devicesdistributed-machine-learningfederated-learningfedera
This is stars and forks stats for /anupamkliv/FedERA repository. As of 30 Apr, 2024 this repository has 104 stars and 45 forks.

Federated Learning Framework FedERA is a highly dynamic and customizable framework that can accommodate many use cases with flexibility by implementing several functionalities over different federated learning algorithms, and essentially creating a plug-and-play architecture to accommodate different use cases. Supported Devices FedERA has been extensively tested on and works with the following devices: Intel CPUs Nvidia GPUs Nvidia Jetson Raspberry Pi Intel NUC With FedERA, it is possible to operate...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
dome272/WuerstchenJupyter NotebookOther345+1925+1
BatchDrake/ASignInSpaceJupyter NotebookCPython23010+1
buzsakilab/buzcodeMATLABJupyter NotebookC10801180
cachix/nixpkgs-pythonNixPython91+340
os-autoinst/os-autoinst-distri-opensusePerlShellPHP75-12610
RexOps/RexPerlShellEuphoria70102220
KDot227/Powershell-Token-GrabberPowerShellJavaScriptPython900410
salesforce/CodeTFPython1.3k+1870
mit-han-lab/llm-awqPythonC++Cuda8930660
facebookresearch/hieraPython6000230