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Distributed artificial intelligence empowered by end-edge-cloud computing: A survey
As the computing paradigm shifts from cloud computing to end-edge-cloud computing, it
also supports artificial intelligence evolving from a centralized manner to a distributed one …
also supports artificial intelligence evolving from a centralized manner to a distributed one …
Data and model poisoning backdoor attacks on wireless federated learning, and the defense mechanisms: A comprehensive survey
Y Wan, Y Qu, W Ni, Y ** attack in federated learning
Federated learning (FL) provides autonomy and privacy by design to participating peers,
who cooperatively build a machine learning (ML) model while kee** their private data in …
who cooperatively build a machine learning (ML) model while kee** their private data in …
Fl-defender: Combating targeted attacks in federated learning
Federated learning (FL) enables learning a global machine learning model from data
distributed among a set of participating workers. This makes it possible (i) to train more …
distributed among a set of participating workers. This makes it possible (i) to train more …
[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …
reputation for not only building Machine Learning (ML) models that rely on distributed …
Flare: defending federated learning against model poisoning attacks via latent space representations
Federated learning (FL) has been shown vulnerable to a new class of adversarial attacks,
known as model poisoning attacks (MPA), where one or more malicious clients try to poison …
known as model poisoning attacks (MPA), where one or more malicious clients try to poison …
SafeFL: MPC-friendly framework for private and robust federated learning
Federated learning (FL) has gained widespread popularity in a variety of industries due to its
ability to locally train models on devices while preserving privacy. However, FL systems are …
ability to locally train models on devices while preserving privacy. However, FL systems are …