A survey of trustworthy federated learning: Issues, solutions, and challenges
Trustworthy artificial intelligence (TAI) has proven invaluable in curbing potential negative
repercussions tied to AI applications. Within the TAI spectrum, federated learning (FL) …
repercussions tied to AI applications. Within the TAI spectrum, federated learning (FL) …
Practical and robust federated learning with highly scalable regression training
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …
techniques, is a promising distributed and privacy-preserving machine learning (ML) …
Sok: Secure aggregation based on cryptographic schemes for federated learning
Secure aggregation consists of computing the sum of data collected from multiple sources
without disclosing these individual inputs. Secure aggregation has been found useful for …
without disclosing these individual inputs. Secure aggregation has been found useful for …