DeepAI AI Chat
Log In Sign Up

Federated Learning Meets Natural Language Processing: A Survey

07/27/2021
by   Ming Liu, et al.
24

Federated Learning aims to learn machine learning models from multiple decentralized edge devices (e.g. mobiles) or servers without sacrificing local data privacy. Recent Natural Language Processing techniques rely on deep learning and large pre-trained language models. However, both big deep neural and language models are trained with huge amounts of data which often lies on the server side. Since text data is widely originated from end users, in this work, we look into recent NLP models and techniques which use federated learning as the learning framework. Our survey discusses major challenges in federated natural language processing, including the algorithm challenges, system challenges as well as the privacy issues. We also provide a critical review of the existing Federated NLP evaluation methods and tools. Finally, we highlight the current research gaps and future directions.

READ FULL TEXT

page 1

page 2

page 3

page 4

06/12/2021

Federated Learning on Non-IID Data: A Survey

Federated learning is an emerging distributed machine learning framework...
03/31/2021

Federated Learning: A Signal Processing Perspective

The dramatic success of deep learning is largely due to the availability...
01/04/2022

Semantics-Preserved Distortion for Personal Privacy Protection

Privacy protection is an important and concerning topic in Federated Lea...
12/17/2020

Continual Lifelong Learning in Natural Language Processing: A Survey

Continual learning (CL) aims to enable information systems to learn from...
05/17/2022

Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting

Inpatient violence is a common and severe problem within psychiatry. Kno...
12/31/2022

A Survey for In-context Learning

With the increasing ability of large language models (LLMs), in-context ...
07/30/2021

Private Retrieval, Computing and Learning: Recent Progress and Future Challenges

Most of our lives are conducted in the cyberspace. The human notion of p...