most citedPersonalized Federated Learning with First Order Model Optimization

26 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2021

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility

Ammar Haydari, Chen-Nee Chuah, Michael Zhang +2

Location data is collected from users continuously to understand their mobility patterns. Releasing the user trajectories may compromise user privacy. Therefore, the general practi…

cs.CV2020★ 2 cited

Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery

Michael Zhang, Xiaotian Cheng, Daniel Copeland +4

Open, or non-laparoscopic surgery, represents the vast majority of all operating room procedures, but few tools exist to objectively evaluate these techniques at scale. Current eff…

cs.LG2020★ 26 cited

Personalized Federated Learning with First Order Model Optimization

Michael Zhang, Karan Sapra, Sanja Fidler +2

While federated learning traditionally aims to train a single global model across decentralized local datasets, one model may not always be ideal for all participating clients. Her…

cs.LG2020

Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning

Michael Zhang

Despite ample motivation from costly exploration and limited trajectory data, rapidly adapting to new environments with few-shot reinforcement learning (RL) can remain a challengin…

cs.RO2020★ 3 cited

Soft Multicopter Control using Neural Dynamics Identification

Yitong Deng, Yaorui Zhang, Xingzhe He +5

Dynamic control of a soft-body robot to deliver complex behaviors with low-dimensional actuation inputs is challenging. In this paper, we present a computational approach to automa…