Splitfed: When federated learning meets split learning C Thapa, MAP Chamikara, S Camtepe, L Sun Association for the Advancement of Artificial Intelligence (AAAI) 2022, 2022 | 462 | 2022 |
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 | 188 | 2020 |
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 | 182 | 2021 |
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 | 107 | 2020 |
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 | 86* | 2020 |
Transformer-based language models for software vulnerability detection C Thapa, SI Jang, ME Ahmed, S Camtepe, J Pieprzyk, S Nepal Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 68* | 2022 |
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, ... IEEE Transactions on Computers, 2022 | 53 | 2022 |
Graph Lifelong Learning: A Survey FG Febrinanto, F Xia, K Moore, C Thapa, C Aggarwal IEEE Computational Intelligence Magazine, 2022 | 43 | 2022 |
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 | 42 | 2012 |
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 | 40 | 2017 |
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 | 37 | 2020 |
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, ... EAI QSHINE 2021 - 17th EAI International Conference on Heterogeneous …, 2021 | 24 | 2021 |
Graph-theoretic approaches to two-sender index coding C Thapa, L Ong, SJ Johnson 2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016 | 20 | 2016 |
Enabling All In-Edge Deep Learning: A Literature Review P Joshi, M Hasanuzzaman, C Thapa, H Afli, T Scully IEEE Access, 2023 | 19* | 2023 |
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 9 (7), 5266-5274, 2021 | 17 | 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 Collaborative European Research Conference (CERC 2021), 2021 | 16 | 2021 |
Generalized interlinked cycle cover for index coding C Thapa, L Ong, SJ Johnson 2015 IEEE Information Theory Workshop-Fall (ITW), 4-8, 2015 | 15 | 2015 |
Evaluation of Federated Learning in Phishing Email Detection C Thapa, JW Tang, A Abuadbba, Y Gao, S Camtepe, S Nepal, ... Sensors 23 (4346), 2023 | 13* | 2023 |
Structural characteristics of two-sender index coding C Thapa, L Ong, SJ Johnson, M Li entropy 21 (6), 615, 2019 | 11 | 2019 |
Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond P Joshi, C Thapa, S Camtepe, M Hasanuzzaman, T Scully, H Afli Methods and Protocols 5 (4), 60, 2022 | 9 | 2022 |