Alternatives and similar repositories for FedNLP

Users that are interested in FedNLP are comparing it to the libraries listed below

• OpenMined / SyferText
  A privacy preserving NLP framework
  ☆198Updated 2 years ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆171Updated 2 years ago
• microsoft / msrflute
  Federated Learning Utilities and Tools for Experimentation
  ☆189Updated last year
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆141Updated 3 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆217Updated last year
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 4 years ago
• poga / awesome-federated-learning
  resources about federated learning and privacy in machine learning
  ☆536Updated 10 months ago
• coMindOrg / federated-averaging-tutorials
  A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
  ☆182Updated 4 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆199Updated 4 years ago
• google / fedjax
  FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
  ☆261Updated last month
• bplank / awesome-neural-adaptation-in-NLP
  Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
  ☆266Updated 3 years ago
• IBM / federated-learning-lib
  A library for federated learning (a distributed machine learning process) in an enterprise environment.
  ☆504Updated last week
• facebookresearch / FLSim
  Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…
  ☆259Updated 8 months ago
• ShilinHe / interpretableNLP
  A list of publications on NLP interpretability (Welcome PR)
  ☆168Updated 4 years ago
• jayded / eraserbenchmark
  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/
  ☆96Updated 2 years ago
• castorini / DeeBERT
  DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
  ☆156Updated 3 years ago
• tushar-semwal / awesome-federated-computing
  A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
  ☆476Updated last year
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆720Updated 9 months ago
• JetRunner / PABEE
  Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".
  ☆65Updated 3 years ago
• wyshi / lm_privacy
  ☆18Updated 3 years ago
• google-research / lm-extraction-benchmark
  ☆287Updated 2 weeks ago
• microsoft / UST
  Uncertainty-aware Self-training
  ☆121Updated last year
• csong27 / collision-bert
  ☆27Updated 4 years ago
• yueyu1030 / COSINE
  [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…
  ☆203Updated 2 years ago
• pmichel31415 / are-16-heads-really-better-than-1
  Code for the paper "Are Sixteen Heads Really Better than One?"
  ☆171Updated 5 years ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆94Updated last month
• benchmarkpaper / Benchmarking-Differential-Privacy-and-FederatedLearning-for-Healthcare-Data
  ☆19Updated 3 years ago
• IBM / FedMA
  Code for Federated Learning with Matched Averaging, ICLR 2020.
  ☆338Updated 3 years ago
• yuxiangw / autodp
  autodp: A flexible and easy-to-use package for differential privacy
  ☆275Updated last year