Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
J Liu, C Chen, Y Li, L Sun, Y Song, J Zhou… - … and Information Systems, 2024 - Springer
While centralized servers pose a risk of being a single point of failure, decentralized
approaches like blockchain offer a compelling solution by implementing a consensus …
approaches like blockchain offer a compelling solution by implementing a consensus …
Efficient asynchronous federated learning with sparsification and quantization
While data is distributed in multiple edge devices, federated learning (FL) is attracting more
and more attention to collaboratively train a machine learning model without transferring raw …
and more attention to collaboratively train a machine learning model without transferring raw …
Effective Federated Graph Matching
Graph matching in the setting of federated learning is still an open problem. This paper
proposes an unsupervised federated graph matching algorithm, UFGM, for inferring …
proposes an unsupervised federated graph matching algorithm, UFGM, for inferring …