Nokia-Bell-Labs / salted-dnns
(HotMobile'24) Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing
☆14Updated last year
Alternatives and similar repositories for salted-dnns:
Users that are interested in salted-dnns are comparing it to the libraries listed below
- Enhancing Efficiency in Multidevice Federated Learning through Data Selection☆13Updated 10 months ago
- (WSDM'24) Cross-modal Self-Supervised Learning for Time-series through Latent Masking☆17Updated 11 months ago
- (WACV'24) Kaizen: Practical self-supervised continual learning with continual fine-tuning☆12Updated 3 months ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆52Updated 5 months ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated last year
- (KDD’24) Using Self-Supervised Learning Can Improve Model Fairness.☆12Updated 8 months ago
- The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenS…☆16Updated 2 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.☆15Updated last year
- codebase for "MELTing Point: Mobile Evaluation of Language Transformers"☆16Updated 6 months ago
- Online Federated Learning.☆16Updated 3 years ago
- Early exit ensembles☆12Updated 3 years ago
- Libraries for efficient and scalable group-structured dataset pipelines.☆23Updated 2 months ago
- ☆27Updated 2 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆27Updated 6 months ago
- One-size-fits-all model for mobile AI, a novel paradigm for mobile AI in which the OS and hardware co-manage a foundation model that is c…☆22Updated 11 months ago
- The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'☆11Updated 6 months ago
- Repo for the paper: PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees (CVPR 2024)☆14Updated 6 months ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆37Updated 3 years ago
- Four Federated learning datasets for Human Activity Recognition☆51Updated last year
- ☆36Updated 2 years ago
- Federated posterior averaging implemented in JAX☆51Updated last year
- FedNAS: Federated Deep Learning via Neural Architecture Search☆53Updated 3 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 2 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆254Updated 5 months ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆142Updated 5 years ago
- Experimental deep learning framework written in Rust☆14Updated 2 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated last year
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago