BGK 596E Seminars

CRN 23829

  2  
Title FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Speaker İrem Yılmaz
Date May 16th, 2025
Time 10:30 (GMT+3)
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Abstract
This paper presents FedML-HE, a practical federated learning system that integrates homomorphic encryption (HE) to protect user privacy during model aggregation. By selectively encrypting sensitive model parameters, FedML-HE significantly reduces computational and communication overhead. It demonstrates strong scalability, achieving up to 10x and 40x efficiency gains for ResNet-50 and BERT models, respectively.
  1  
Title Exploring Web3 From the View of Blockchain
Speaker Nadir Alishli
Date April 18th, 2025
Time 10:30 (GMT+3)
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Abstract
Web3 is the most hyped concept from 2020 to date, greatly motivating the prosperity of the Internet of Value and Metaverse. However, no solid evidence stipulates the exact definition, criterion, or standard in the sense of such a buzzword. To fill the gap, we aim to clarify the term in this work. We narrow down the connotation of Web3 by separating it from high-level controversy argues and, instead, focusing on its protocol, architecture, and evaluation from the perspective of blockchain fields. Specifically, we have identified all potential architectural design types and evaluated each of them by employing the scenario-based architecture evaluation method. The evaluation shows that existing applications are neither secure nor adoptable as claimed. Meanwhile, we also discuss opportunities and challenges surrounding the Web3 space and answer several prevailing questions from communities. A primary result is that Web3 still relies on traditional internet infrastructure, not as independent as advocated. This report, as of June 2022, provides the first strict research on Web3 in the view of blockchain. We hope that this work would provide a guide for the development of future Web3 services.