Scholar
Murtaza Rangwala
Google Scholar ID: 4CNDsBYAAAAJ
University of Melbourne
Federated Learning
Trustworthy ML
Privacy Preserving ML
Blockchain Technologies
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Citations & Impact
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Citations
3
H-index
1
i10-index
0
Publications
3
Co-authors
3
list available
Contact
Email
murtaza.rangwala@student.unimelb.edu.au
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Publications
8 items
Trust-Aware Topology Learning for Dynamic Decentralized Federated Learning under Adversaries
2026
Cited
0
A Periodic Space of Distributed Computing: Vision & Framework
2026
Cited
0
Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
2025
Cited
0
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
2025
Cited
0
SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening
2025
Cited
0
Blockchain-Enabled Federated Learning
2025
Cited
0
Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
2025
Cited
0
TrustMesh: A Blockchain-Enabled Trusted Distributed Computing Framework for Open Heterogeneous IoT Environments
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
3 total
Rajkumar Buyya
School of Computing and Information Systems, The Uni of Melbourne; Fellow of IEEE & Academia Europea
Prof. Richard O. Sinnott
School of Computing and Information Systems, The University of Melbourne
Venugopal K R
Former Vice Chancellor, Bangalore University, IEEE Fellow, ACM Distinguished Educator
