[HTML][HTML] Securing federated learning with blockchain: a systematic literature review
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review
A Qammar, A Karim, H Ning… - The Artificial Intelligence …, 2023 - search.proquest.com
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - dl.acm.org
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
[HTML][HTML] Securing federated learning with blockchain: a systematic literature review
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - ncbi.nlm.nih.gov
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review.
A Qammar, A Karim, H Ning… - Artificial Intelligence …, 2023 - search.ebscohost.com
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review
A Qammar, A Karim, H Ning… - Artificial intelligence …, 2023 - pubmed.ncbi.nlm.nih.gov
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - diva-portal.org
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review.
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2022 - europepmc.org
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
Securing federated learning with blockchain: a systematic literature review.
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2022 - europepmc.org
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …