Sayan Biswas

Orcid: 0000-0002-2115-1495

According to our database1, Sayan Biswas authored at least 23 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Noiseless Privacy-Preserving Decentralized Learning.
Proc. Priv. Enhancing Technol., 2025

2024
PRIVIC: A privacy-preserving method for incremental collection of location data.
Proc. Priv. Enhancing Technol., January, 2024

Boosting Asynchronous Decentralized Learning with Model Fragmentation.
CoRR, 2024

Fair Decentralized Learning.
CoRR, 2024

Bayes' capacity as a measure for reconstruction attacks in federated learning.
CoRR, 2024

Secure Aggregation Meets Sparsification in Decentralized Learning.
CoRR, 2024

Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes.
CoRR, 2024

Low-Cost Privacy-Aware Decentralized Learning.
CoRR, 2024

SERGI: Similar Entity Retrieval using Grouped Images.
Proceedings of the ACM SIGIR Workshop on eCommerce 2024 co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond.
SN Comput. Sci., November, 2023

Understanding and optimizing the trade-off between privacy and utility from a foundational perspective. (Understanding and optimizing the trade-off between privacy and utility from a foundational perspective).
PhD thesis, 2023

Group Privacy for Personalized Federated Learning.
Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response.
Proceedings of the Foundations and Practice of Security - 16th International Symposium, 2023

2022
Three-way optimization of privacy and utility of location data.
CoRR, 2022

A privacy preserving querying mechanism with high utility for electric vehicles.
CoRR, 2022

Impact of Sampling on Locally Differentially Private Data Collection.
CoRR, 2022

Tight Differential Privacy Blanket for Shuffle Model.
CoRR, 2022

Stock Price Prediction using Bidirectional LSTM with Attention.
Proceedings of the 1st International Conference on AI in Cybersecurity, 2022

2021
An Incentive Mechanism for Trading Personal Data in Data Markets.
Proceedings of the Theoretical Aspects of Computing - ICTAC 2021, 2021

Establishing the Price of Privacy in Federated Data Trading.
Proceedings of the Protocols, Strands, and Logic, 2021

2017
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG.
CoRR, 2017

Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music.
CoRR, 2017

2016
Extraction of Network Information - Quality and Quantity - from Nodes of Neuronal Network.
Proceedings of the 2016 International Conference on Information Technology, 2016


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