activity
20202024
most citedLayered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning

3 citations · 4 across the 6 of their papers we have counts for

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Showing 2020Show all

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cs.AI2020

Distributed Thompson Sampling

Jing Dong, Tan Li, Shaolei Ren +1

We study a cooperative multi-agent multi-armed bandits with M agents and K arms. The goal of the agents is to minimized the cumulative regret. We adapt a traditional Thompson Sampl…

cs.LG2020

Federated Recommendation System via Differential Privacy

Tan Li, Linqi Song, Christina Fragouli

In this paper, we are interested in what we term the federated private bandits framework, that combines differential privacy with multi-agent bandit learning. We explore how differ…