7 citations · 13 across the 3 of their papers we have counts for
3 papers
AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities
Sankarshan Damle, Vlasis Koutsos, Dimitrios Papadopoulos +2
In crowdsourcing systems, requesters publish tasks, and interested workers provide answers to get rewards. Worker anonymity motivates participation since it protects their privacy.…
Mitigating Leakage in Federated Learning with Trusted Hardware
Javad Ghareh Chamani, Dimitrios Papadopoulos
In federated learning, multiple parties collaborate in order to train a global model over their respective datasets. Even though cryptographic primitives (e.g., homomorphic encrypt…
Private Hierarchical Clustering and Efficient Approximation
Xianrui Meng, Dimitrios Papadopoulos, Alina Oprea +1
In collaborative learning, multiple parties contribute their datasets to jointly deduce global machine learning models for numerous predictive tasks. Despite its efficacy, this lea…