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Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-
preservation demands in artificial intelligence. As machine learning, federated learning is …
preservation demands in artificial intelligence. As machine learning, federated learning is …
Federated Learning for Urban Sensing Systems: A Comprehensive Survey on Attacks, Defences, Incentive Mechanisms, and Applications
In recent years, advancements in Artificial Intelligence (AI), the Internet of Things (IoT) and
wireless technologies have propelled the evolution of smart cities. Urban sensing systems …
wireless technologies have propelled the evolution of smart cities. Urban sensing systems …
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies
V Kaushal, S Sharma - Knowledge and Information Systems, 2025 - Springer
Federated learning holds significant potential as a collaborative machine learning
technique, allowing multiple entities to work together on a collective model without the need …
technique, allowing multiple entities to work together on a collective model without the need …
Byzantine-robust variance-reduced federated learning over distributed non-iid data
We consider the federated learning problem where data on workers are not independent
and identically distributed (iid). During the learning process, an unknown number of …
and identically distributed (iid). During the learning process, an unknown number of …
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars
P He, C Lin, I Montoya - arxiv preprint arxiv:2410.13753, 2024 - arxiv.org
In recent years, the financial sector has faced growing pressure to adopt advanced machine
learning models to derive valuable insights while preserving data privacy. However, the …
learning models to derive valuable insights while preserving data privacy. However, the …