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Sajani Vithana
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Books and Theses
- 2023
- [b1]Sajani Vithana:
Private Information Read-Update-Write with Applications to Distributed Learning. University of Maryland, College Park, MD, USA, 2023
Journal Articles
- 2024
- [j5]Sajani Vithana, Sennur Ulukus:
Deceptive Information Retrieval. Entropy 26(3): 244 (2024) - [j4]Sajani Vithana
, Sennur Ulukus
:
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification. IEEE Trans. Inf. Theory 70(2): 1320-1348 (2024) - [j3]Sajani Vithana
, Sennur Ulukus
:
Private Read-Update-Write With Controllable Information Leakage for Storage-Efficient Federated Learning With Top r Sparsification. IEEE Trans. Inf. Theory 70(5): 3669-3692 (2024) - [j2]Sajani Vithana
, Sennur Ulukus
:
Information-Theoretically Private Federated Submodel Learning With Storage Constrained Databases. IEEE Trans. Inf. Theory 70(8): 6041-6059 (2024) - 2022
- [j1]Sajani Vithana
, Karim Banawan
, Sennur Ulukus
:
Semantic Private Information Retrieval. IEEE Trans. Inf. Theory 68(4): 2635-2652 (2022)
Conference and Workshop Papers
- 2024
- [c12]Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Asymmetric X-Secure T-Private Information Retrieval: More Databases is Not Always Better. CISS 2024: 1-6 - 2023
- [c11]Sajani Vithana, Sennur Ulukus:
Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification. CISS 2023: 1-6 - [c10]Alptug Aytekin, Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers. GLOBECOM (Workshops) 2023: 1057-1062 - [c9]Sajani Vithana, Sennur Ulukus:
Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification. ICC 2023: 3127-3132 - [c8]Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) With Heterogeneous Databases. ISIT 2023: 1520-1525 - [c7]Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Private Membership Aggregation. MILCOM 2023: 57-62 - 2022
- [c6]Sajani Vithana, Sennur Ulukus:
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning. IEEECONF 2022: 210-214 - [c5]Sajani Vithana, Sennur Ulukus:
Efficient Private Federated Submodel Learning. ICC 2022: 3394-3399 - [c4]Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) with Storage Constrained Databases. ISIT 2022: 2391-2396 - [c3]Sajani Vithana, Sennur Ulukus:
Private Federated Submodel Learning with Sparsification. ITW 2022: 410-415 - 2021
- [c2]Sajani Vithana, Karim Banawan, Sennur Ulukus:
Semantic Private Information Retrieval From MDS-Coded Databases. ISIT 2021: 1772-1777 - 2020
- [c1]Sajani Vithana, Karim Banawan, Sennur Ulukus:
Semantic Private Information Retrieval: Effects of Heterogeneous Message Sizes and Popularities. GLOBECOM 2020: 1-6
Informal and Other Publications
- 2024
- [i17]Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong:
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. CoRR abs/2407.03289 (2024) - [i16]Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation. CoRR abs/2407.08571 (2024) - 2023
- [i15]Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) With Heterogeneous Databases. CoRR abs/2302.03670 (2023) - [i14]Sajani Vithana, Sennur Ulukus:
Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top r Sparsification. CoRR abs/2303.04123 (2023) - [i13]Sajani Vithana, Zhusheng Wang, Sennur Ulukus:
Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions. CoRR abs/2304.14397 (2023) - [i12]Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Asymmetric X-Secure T-Private Information Retrieval: More Databases is Not Always Better. CoRR abs/2305.05649 (2023) - [i11]Sajani Vithana, Sennur Ulukus:
Deceptive Information Retrieval. CoRR abs/2307.04727 (2023) - [i10]Sajani Vithana, Sennur Ulukus:
Information-Theoretically Private Federated Submodel Learning with Storage Constrained Databases. CoRR abs/2307.06323 (2023) - [i9]Alptug Aytekin, Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers. CoRR abs/2308.10883 (2023) - [i8]Mohamed Nomeir, Sajani Vithana, Sennur Ulukus:
Private Membership Aggregation. CoRR abs/2309.03872 (2023) - 2022
- [i7]Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) with Storage Constrained Databases. CoRR abs/2202.03400 (2022) - [i6]Sajani Vithana, Sennur Ulukus:
Private Federated Submodel Learning with Sparsification. CoRR abs/2205.15992 (2022) - [i5]Sajani Vithana, Sennur Ulukus:
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning. CoRR abs/2206.03468 (2022) - [i4]Sajani Vithana, Sennur Ulukus:
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification. CoRR abs/2209.04421 (2022) - [i3]Sajani Vithana, Sennur Ulukus:
Rate-Privacy-Storage Tradeoff in Federated Learning with Top r Sparsification. CoRR abs/2212.09704 (2022) - [i2]Sajani Vithana, Sennur Ulukus:
Model Segmentation for Storage Efficient Private Federated Learning with Top r Sparsification. CoRR abs/2212.11947 (2022) - 2020
- [i1]Sajani Vithana, Karim Banawan, Sennur Ulukus:
Semantic Private Information Retrieval. CoRR abs/2003.13667 (2020)
Coauthor Index
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