158 citations · 199 across the 4 of their papers we have counts for
5 papers
Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies
Shaltiel Eloul, Fran Silavong, Sanket Kamthe +2
Federated learning reduces the risk of information leakage, but remains vulnerable to attacks. We investigate how several neural network design decisions can defend against gradien…
Copula Flows for Synthetic Data Generation
Sanket Kamthe, Samuel Assefa, Marc Deisenroth
The ability to generate high-fidelity synthetic data is crucial when available (real) data is limited or where privacy and data protection standards allow only for limited use of t…
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
Sanket Kamthe, Marc Peter Deisenroth
Trial-and-error based reinforcement learning (RL) has seen rapid advancements in recent times, especially with the advent of deep neural networks. However, the majority of autonomo…
Multi-modal filtering for non-linear estimation
Sanket Kamthe, Jan Peters, Marc P Deisenroth
Multi-modal densities appear frequently in time series and practical applications. However, they cannot be represented by common state estimators, such as the Extended Kalman Filte…
Optimal Threshold Scheduler for Cellular Networks
Sanket Kamthe, Smriti Gopinath
The conventional wireless schedulers of Unicast and Multicast either fulfill multiuser diversity or broadcast gain, but not both together. To achieve optimal system throughput we n…