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Sayan Biswas
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2020 – today
- 2025
- [j3]Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos:
Noiseless Privacy-Preserving Decentralized Learning. Proc. Priv. Enhancing Technol. 2025(1): 824-844 (2025) - 2024
- [j2]Sayan Biswas, Catuscia Palamidessi:
PRIVIC: A privacy-preserving method for incremental collection of location data. Proc. Priv. Enhancing Technol. 2024(1): 582-596 (2024) - [c7]Akshit Sarpal, Raviteja Uppalapati, Sayan Biswas, Rajesh Narasimha Reddy, Samrat Kokkula:
SERGI: Similar Entity Retrieval using Grouped Images. eCom@SIGIR 2024 - [i17]Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani:
Low-Cost Privacy-Aware Decentralized Learning. CoRR abs/2403.11795 (2024) - [i16]Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos:
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. CoRR abs/2404.09536 (2024) - [i15]Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic:
Secure Aggregation Meets Sparsification in Decentralized Learning. CoRR abs/2405.07708 (2024) - [i14]Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi:
Bayes' capacity as a measure for reconstruction attacks in federated learning. CoRR abs/2406.13569 (2024) - [i13]Sayan Biswas, Anne-Marie Kermarrec, Rishi Sharma, Trinca Thibaud, Martijn de Vos:
Fair Decentralized Learning. CoRR abs/2410.02541 (2024) - [i12]Sayan Biswas, Anne-Marie Kermarrec, Alexis Marouani, Rafael Pires, Rishi Sharma, Martijn de Vos:
Boosting Asynchronous Decentralized Learning with Model Fragmentation. CoRR abs/2410.12918 (2024) - 2023
- [b1]Sayan Biswas:
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). École Polytechnique, Palaiseau, France, 2023 - [j1]Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. SN Comput. Sci. 4(6): 831 (2023) - [c6]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. FPS (1) 2023: 440-458 - [c5]Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi:
Group Privacy for Personalized Federated Learning. ICISSP 2023: 252-263 - [i11]Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta:
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. CoRR abs/2309.00416 (2023) - 2022
- [c4]Sayan Biswas:
Stock Price Prediction using Bidirectional LSTM with Attention. ICAIC 2022: 1-5 - [i10]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Blanket for Shuffle Model. CoRR abs/2205.04410 (2022) - [i9]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response. CoRR abs/2205.08858 (2022) - [i8]Sayan Biswas, Graham Cormode, Carsten Maple:
Impact of Sampling on Locally Differentially Private Data Collection. CoRR abs/2206.01028 (2022) - [i7]Ugur-Ilker Atmaca, Sayan Biswas, Carsten Maple, Catuscia Palamidessi:
A privacy preserving querying mechanism with high utility for electric vehicles. CoRR abs/2206.02060 (2022) - [i6]Filippo Galli, Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi, Tommaso Cucinotta:
Group privacy for personalized federated learning. CoRR abs/2206.03396 (2022) - [i5]Sayan Biswas, Catuscia Palamidessi:
Three-way optimization of privacy and utility of location data. CoRR abs/2206.10525 (2022) - 2021
- [c3]Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi:
Establishing the Price of Privacy in Federated Data Trading. Protocols, Strands, and Logic 2021: 232-250 - [c2]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
An Incentive Mechanism for Trading Personal Data in Data Markets. ICTAC 2021: 197-213 - [i4]Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi:
An Incentive Mechanism for Trading Personal Data in Data Markets. CoRR abs/2106.14187 (2021) - [i3]Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi:
Establishing the Price of Privacy in Federated Data Trading. CoRR abs/2111.15415 (2021)
2010 – 2019
- 2017
- [i2]Shankha Sanyal, Archi Banerjee, Souparno Roy, Sourya Sengupta, Sayan Biswas, Sayan Nag, Ranjan Sengupta, Dipak Ghosh:
Gestalt Phenomenon in Music? A Neurocognitive Physics Study with EEG. CoRR abs/1703.06491 (2017) - [i1]Sayan Nag, Sayan Biswas, Sourya Sengupta, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh:
Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music. CoRR abs/1705.03543 (2017) - 2016
- [c1]Sayan Biswas:
Extraction of Network Information - Quality and Quantity - from Nodes of Neuronal Network. ICIT 2016: 118-123
Coauthor Index
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