Chandra Thapa
Title
Cited by
Cited by
Year
COMPARATIVE EVALUATION OF FRACTIONAL FREQUENCY REUSE (FFR) AND TRADITIONAL FREQUENCY REUSE IN 3GPP-LTE DOWNLINK
C Thapa, C Chandrasekhar
International Journal of Mobile Network Communications & Telematics (IJMNCT …, 2012
442012
Interlinked cycles for index coding: Generalizing cycles and cliques
C Thapa, L Ong, SJ Johnson
IEEE Transactions on Information Theory 63 (6), 3692-3711, 2017
302017
Graph-theoretic approaches to two-sender index coding
C Thapa, L Ong, SJ Johnson
2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016
192016
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Y Gao, M Kim, S Abuadbba, Y Kim, C Thapa, K Kim, SA Camtepe, H Kim, ...
The 39th International Symposium on Reliable Distributed Systems (SRDS), 2020
182020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
S Abuadbba, K Kim, M Kim, C Thapa, SA Camtepe, Y Gao, H Kim, ...
The 15th ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2020
172020
Splitfed: When federated learning meets split learning
C Thapa, MAP Chamikara, S Camtepe
arXiv preprint arXiv:2004.12088, 2020
152020
Generalized interlinked cycle cover for index coding
C Thapa, L Ong, SJ Johnson
2015 IEEE Information Theory Workshop-Fall (ITW), 4-8, 2015
132015
Structural characteristics of two-sender index coding
C Thapa, L Ong, SJ Johnson, M Li
entropy 21 (6), 615, 2019
102019
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
C Thapa, S Camtepe
Computers in Biology and Medicine, 104130, 2020
42020
A new index coding scheme exploiting interlinked cycles
C Thapa, L Ong, SJ Johnson
2015 IEEE International Symposium on Information Theory (ISIT), 1024 - 1028, 2015
42015
Corrections to “Interlinked Cycles for Index Coding: Generalizing Cycles and Cliques”[Jun 17 3692-3711]
C Thapa, L Ong, SJ Johnson
IEEE Transactions on Information Theory 64 (9), 6460-6460, 2018
32018
Advancements of federated learning towards privacy preservations: from federated learning to split learning
C Thapa, MAP Chamikara, S Camtepe
Book series: Studies in Computational Intelligence, Book title: Federated …, 2020
12020
FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning
C Thapa, JW Tang, S Abuadbba, Y Gao, Y Zheng, SA Camtepe, S Nepal, ...
arXiv preprint arXiv:2007.13300, 2020
12020
Towards a Security Enhanced Virtualised Network Infrastructure for Internet of Medical Things (IoMT)
KK Karmakar, V Varadharajan, U Tupakula, S Nepal, C Thapa
2020 6th IEEE Conference on Network Softwarization (NetSoft), 257-261, 2020
12020
Analysis of Fractional Frequency Reuse (FFR) over Classical Reuse Scheme in 4G (LTE) Cellular Network
C Thapa, C Chandrasekhar
Advances in Computing and Information Technology, 361-367, 2012
12012
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation
C Thapa, KK Karmakar, AH Celdran, S Camtepe, V Varadharajan, ...
arXiv preprint arXiv:2106.05434, 2021
2021
Evaluation of Federated Learning in Phishing Email Detection
C Thapa, JW Tang, A Abuadbba, Y Gao, S Camtepe, S Nepal, ...
2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Y Gao, M Kim, C Thapa, S Abuadbba, Z Zhang, SA Camtepe, H Kim, ...
arXiv preprint arXiv:2103.02762, 2021
2021
Graphical approaches to single-sender and two-sender index coding
C Thapa
The University of Newcastle Australia, (http://hdl.handle.net/1959.13/1388175), 2018
2018
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Articles 1–19