Pinned Repositories
dnn-quant-ocs
DNN quantization with outlier channel splitting
PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning
weareaworld's Repositories
weareaworld/dnn-quant-ocs
DNN quantization with outlier channel splitting
weareaworld/PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
weareaworld/Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning