7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 7 cited
SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation
Yash More, Prashanthi Ramachandran, Priyam Panda +3
Federated learning enables multiple data owners to jointly train a machine learning model without revealing their private datasets. However, a malicious aggregation server might us…
cs.CR2021★ 1 cited
Flatee: Federated Learning Across Trusted Execution Environments
Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath +1
Federated learning allows us to distributively train a machine learning model where multiple parties share local model parameters without sharing private data. However, parameter e…