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
422012
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
372020
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
332017
Splitfed: When federated learning meets split learning
C Thapa, MAP Chamikara, S Camtepe, L Sun
arXiv preprint arXiv:2004.12088, 2020
292020
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
232020
Graph-theoretic approaches to two-sender index coding
C Thapa, L Ong, SJ Johnson
2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016
192016
Precision health data: Requirements, challenges and existing techniques for data security and privacy
C Thapa, S Camtepe
Computers in biology and medicine 129, 104130, 2021
172021
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
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
62020
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
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
32020
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
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
12021
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 e-prints, arXiv: 2007.13300, 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
Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples
A Namvar, C Thapa, SS Kanhere, S Camtepe
International Conference on Service-Oriented Computing, 800-810, 2021
2021
Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance
P Joshi, C Thapa, S Camtepe, M Hasanuzzamana, T Scully, H Afli
arXiv preprint arXiv:2109.09246, 2021
2021
Bushfire Risk Detection Using Internet of Things: An Application Scenario
MR Nosouhi, K Sood, N Kumar, T Wevill, C Thapa
IEEE Internet of Things Journal, 2021
2021
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
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Articles 1–20