Sayyed Farid Ahamed

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks

2021 · 2021 IEEE Global Communications Conference (GLOBECOM)

Success of machine learning algorithms hinges on access to labeled dataset. Obtaining a labeled dataset is an expensive, challenging and time-consuming process, leading to the development of transfer learning (TL) methodology. TL incorporates gained knowledge …

Privacy Drift: Evolving Privacy Concerns in Incremental Learning

2024 · arXiv (Cornell University)

In the evolving landscape of machine learning (ML), Federated Learning (FL) presents a paradigm shift towards decentralized model training while preserving user data privacy. This paper introduces the concept of ``privacy drift", an innovative framework …