Sherrylife

Recurrent-Neural-Networks-from-scratch-using-PyTorch

LSTM, RNN and GRU implementations using Pytorch

objax

llm2vec

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

mobiarch2022.github.io

mobiarch2022

FedDWA

[IJCAI2023] "FedDWA: personalized federated learning with dynamic weight adjustment." by Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

FedLMT

[ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani and Quan Z. Sheng

Local-Differential-Privacy-for-Deep-Learning

Reproduce the paper "Local Differential Privacy for Deep Learning"

Low-rank_Model_Training

Implementations of training low-rank model from scratch

mobiarch2022.github.io

mobiarch2022

Sherrylife/FedLMT

[ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani and Quan Z. Sheng

Sherrylife/FedDWA

[IJCAI2023] "FedDWA: personalized federated learning with dynamic weight adjustment." by Jiahao Liu, Jiang Wu, Jinyu Chen, Miao Hu, Yipeng Zhou, Di Wu

Sherrylife/Local-Differential-Privacy-for-Deep-Learning

Reproduce the paper "Local Differential Privacy for Deep Learning"

Sherrylife/Low-rank_Model_Training

Implementations of training low-rank model from scratch

Sherrylife/mobiarch2022.github.io

mobiarch2022