1 citations · 2 across the 11 of their papers we have counts for
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Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning
Mina Rafiei, Mohammadmahdi Maheri, Hamid R. Rabiee
Meta-learning involves multiple learners, each dedicated to specific tasks, collaborating in a data-constrained setting. In current meta-learning methods, task learners locally lea…
P4: Towards private, personalized, and Peer-to-Peer learning
Mohammad Mahdi Maheri, Sandra Siby, Sina Abdollahi +2
Personalized learning is a proposed approach to address the problem of data heterogeneity in collaborative machine learning. In a decentralized setting, the two main challenges of…
GuaranTEE: Towards Attestable and Private ML with CCA
Sandra Siby, Sina Abdollahi, Mohammad Maheri +2
Machine-learning (ML) models are increasingly being deployed on edge devices to provide a variety of services. However, their deployment is accompanied by challenges in model priva…