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Achintha Wijesinghe
Achintha Wijesinghe
Ph.D. Student, University of California, Davis
Zweryfikowany adres z ucdavis.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Seta++: Real-time scalable encrypted traffic analytics in multi-gbps networks
C Kattadige, KN Choi, A Wijesinghe, A Nama, K Thilakarathna, ...
IEEE Transactions on Network and Service Management 18 (3), 3244-3259, 2021
132021
RME-GAN: a learning framework for radio map estimation based on conditional generative adversarial network
S Zhang, A Wijesinghe, Z Ding
IEEE Internet of Things Journal, 2023
112023
SETA: Scalable encrypted traffic analytics in multi-Gbps networks
KN Choi, A Wijesinghe, CMM Kattadige, K Thilakarathna, S Seneviratne, ...
2020 IEEE 45th Conference on Local Computer Networks (LCN), 389-392, 2020
102020
Ps-fedgan: An efficient federated learning framework based on partially shared generative adversarial networks for data privacy
A Wijesinghe, S Zhang, Z Ding
arXiv preprint arXiv:2305.11437, 2023
62023
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data
A Wijesinghe, S Zhang, S Qi, Z Ding
arXiv preprint arXiv:2308.05870, 2023
22023
Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency
A Wijesinghe, S Zhang, S Wanninayaka, W Wang, Z Ding
arXiv preprint arXiv:2312.02984, 2023
12023
Towards a Smart Opponent for Board Games: Learning beyond Simulations
N Karunanayake, A Wijesinghe, C Wijethunga, C Kumaradasa, ...
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
12020
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
S Qi, A Wijesinghe, LD Chamain, Z Ding
arXiv preprint arXiv:2310.19675, 2023
2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning
A Wijesinghe, S Zhang, Z Ding
arXiv preprint arXiv:2308.12454, 2023
2023
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