mahdibeit
I am a machine learning scientist working on distributed machine learning and privacy-preserving machine learning methods such as Federated Learning.
Canada
Pinned Repositories
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Crowd-Counting
Single-Image Crowd Counting with Transfer Learning-based Models and Perceptual Loss Function
DSFL
[ICCSPA 2022] Dynamic Sparsification for Federated Learning
EEG-BasedBCI
Spatio-temporal Representation Learning for EEG-based Brain-Computer Interfaces
FedPFT
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
FLAC
[GLOBECOM 2022] FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee
mahdibeit
My description
mahdibeit.github.io
peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
wlora
WLoRA: Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
mahdibeit's Repositories
mahdibeit/FLAC
[GLOBECOM 2022] FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee
mahdibeit/Crowd-Counting
Single-Image Crowd Counting with Transfer Learning-based Models and Perceptual Loss Function
mahdibeit/DSFL
[ICCSPA 2022] Dynamic Sparsification for Federated Learning
mahdibeit/EEG-BasedBCI
Spatio-temporal Representation Learning for EEG-based Brain-Computer Interfaces
mahdibeit/FedPFT
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
mahdibeit/mahdibeit
My description
mahdibeit/mahdibeit.github.io
mahdibeit/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
mahdibeit/wlora
WLoRA: Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?