Federated Learning using TensorFlow
R Patil, D Gupta, HL Gururaj - … Techniques and Its Application in the …, 2024 - World Scientific
Federated learning (FL), a groundbreaking paradigm in machine learning (ML), enables the
training of models across decentralized devices or servers while keeping data localized …
training of models across decentralized devices or servers while keeping data localized …
Federated Learning using
R Patil, D Gupta, HL Gururaj - Federated Learning Techniques …, 2024 - books.google.com
Federated learning (FL), a groundbreaking paradigm in machine learning (ML), enables the
training of models across decentralized devices or servers while keeping data localized …
training of models across decentralized devices or servers while keeping data localized …
Opportunities and Challenges in Federated Learning
S Bhargava, D Gupta, HL Gururaj - Federated Learning Techniques …, 2024 - World Scientific
Federated learning (FL), a cutting-edge approach in machine learning, enables model
training across decentralized devices while preserving data privacy and reducing …
training across decentralized devices while preserving data privacy and reducing …
Advances and open problems in federated learning
Federated learning (FL) is a machine learning setting where many clients (eg, mobile
devices or whole organizations) collaboratively train a model under the orchestration of a …
devices or whole organizations) collaboratively train a model under the orchestration of a …
Federated Learning: Healthcare, Security, Challenges, and Threats
N Sumanth, SB Heggere, E Prathiksha, CA Shetty… - 2023 - researchsquare.com
Over the last four years, machine learning has undergone a significant shift due to concerns
over privacy and the desire for deep learning. New methods of implementing machine …
over privacy and the desire for deep learning. New methods of implementing machine …
A comprehensive review of federated learning: Methods, applications, and challenges in privacy-preserving collaborative model training
Federated learning (FL) represents an advanced approach to tackling the issues linked with
training machine learning (ML) models using distributed data while upholding privacy and …
training machine learning (ML) models using distributed data while upholding privacy and …
A Review on Various Protocols in Federated Learning
HT Chethana, CD Divya, T Kayarga - … Learning Techniques and Its …, 2024 - World Scientific
Federated learning (FL) is a type of collaborative learning used to train machine-learning
(ML) models. It is important from a privacy and data security perspective. It provides faster …
(ML) models. It is important from a privacy and data security perspective. It provides faster …
11 Future Directions and Advances in Federated Learning
R Yadav, D Gupta, HL Gururaj - and Its - World Scientific
Federated learning (FL) has emerged as a transformative paradigm in machine learning,
allowing models to be trained across decentralized devices while preserving data privacy …
allowing models to be trained across decentralized devices while preserving data privacy …
A review of privacy-preserving federated learning for the Internet-of-Things
Abstract The Internet-of-Things (IoT) generates vast quantities of data. Much of this data is
attributable to human activities and behavior. Collecting personal data and executing …
attributable to human activities and behavior. Collecting personal data and executing …
A Comprehensive Study of Federated Learning Schemes for the Artificial Intelligence of Things
Massive amounts of data are produced continuously by billions of Internet of Things (IoT)
devices and analyzed via Machine Learning (ML) models to serve a wide variety of needs …
devices and analyzed via Machine Learning (ML) models to serve a wide variety of needs …