activity
20192026
most citedClient Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach

8 citations · 9 across the 13 of their papers we have counts for

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Showing 2025Show all

3 papers · 1 filter

stat.ML2025

Differential Privacy in Kernelized Contextual Bandits via Random Projections

Nikola Pavlovic, Sudeep Salgia, Qing Zhao

We consider the problem of contextual kernel bandits with stochastic contexts, where the underlying reward function belongs to a known Reproducing Kernel Hilbert Space. We study th…

stat.ML2025

Differentially Private Kernelized Contextual Bandits

Nikola Pavlovic, Sudeep Salgia, Qing Zhao

We consider the problem of contextual kernel bandits with stochastic contexts, where the underlying reward function belongs to a known Reproducing Kernel Hilbert Space (RKHS). We s…

cs.LG2025

Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization

Sudeep Salgia, Nikola Pavlovic, Yuejie Chi +1

We consider the problem of differentially private stochastic convex optimization (DP-SCO) in a distributed setting with clients, where each of them has a local dataset of i…