Sajani Vithana

According to our database, Sajani Vithana authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Information-Theoretically Private Federated Submodel Learning With Storage Constrained Databases.

Sajani Vithana, Sennur Ulukus

IEEE Trans. Inf. Theory, August, 2024

Private Read-Update-Write With Controllable Information Leakage for Storage-Efficient Federated Learning With Top r Sparsification.

Sajani Vithana, Sennur Ulukus

IEEE Trans. Inf. Theory, May, 2024

Deceptive Information Retrieval.

Sajani Vithana, Sennur Ulukus

Entropy, March, 2024

Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification.

Sajani Vithana, Sennur Ulukus

IEEE Trans. Inf. Theory, February, 2024

Multi-Group Proportional Representation.

Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon

CoRR, 2024

Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation.

Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong

CoRR, 2024

Private Approximate Nearest Neighbor Search for Vector Database Querying.

Sajani Vithana, Martina Cardone, Flávio P. Calman

Proceedings of the IEEE International Symposium on Information Theory, 2024

Asymmetric X-Secure T-Private Information Retrieval: More Databases is Not Always Better.

Mohamed Nomeir, Sajani Vithana, Sennur Ulukus

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Private Information Read-Update-Write with Applications to Distributed Learning.

Sajani Vithana

PhD thesis, 2023

Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions.

Sajani Vithana, Zhusheng Wang, Sennur Ulukus

CoRR, 2023

Private Membership Aggregation.

Mohamed Nomeir, Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE Military Communications Conference, 2023

Private Read Update Write (PRUW) With Heterogeneous Databases.

Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2023

Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification.

Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE International Conference on Communications, 2023

Quantum Symmetric Private Information Retrieval with Secure Storage and Eavesdroppers.

Alptug Aytekin, Mohamed Nomeir, Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE Globecom Workshops 2023, 2023

Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification.

Sajani Vithana, Sennur Ulukus

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Semantic Private Information Retrieval.

Sajani Vithana, Karim Banawan, Sennur Ulukus

IEEE Trans. Inf. Theory, 2022

Private Federated Submodel Learning with Sparsification.

Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE Information Theory Workshop, 2022

Private Read Update Write (PRUW) with Storage Constrained Databases.

Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2022

Efficient Private Federated Submodel Learning.

Sajani Vithana, Sennur Ulukus

Proceedings of the IEEE International Conference on Communications, 2022

Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning.

Sajani Vithana, Sennur Ulukus

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Semantic Private Information Retrieval From MDS-Coded Databases.

Sajani Vithana, Karim Banawan, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Semantic Private Information Retrieval: Effects of Heterogeneous Message Sizes and Popularities.

Sajani Vithana, Karim Banawan, Sennur Ulukus

Proceedings of the IEEE Global Communications Conference, 2020