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Found 4 papers, 1 papers with code
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
This work focuses on the challenges of non-IID data and stragglers/dropouts in federated learning.
On the Capacity of Quantum Private Information Retrieval from MDS-Coded and Colluding Servers
A general statement on the converse bound for QPIR with coded and colluding servers is derived showing that the capacities of stabilizer QPIR and dimension-squared QPIR induced from any class of PIR are upper bounded by twice the classical capacity of the respective PIR class.
High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes
In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a distributed storage system (DSS) without revealing the file identity to the servers holding the data.
Quantum Private Information Retrieval from Coded and Colluding Servers
In the classical private information retrieval (PIR) setup, a user wants to retrieve a file from a database or a distributed storage system (DSS) without revealing the file identity to the servers holding the data.
