activity
20192023
most citedFederated Learning with Differential Privacy: Algorithms and Performance Analysis

88 citations · 183 across the 27 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CV2022

PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios

Liang Peng, Jun Li, Wenbo Shao +1

Perception algorithms in autonomous driving systems confront great challenges in long-tail traffic scenarios, where the problems of Safety of the Intended Functionality (SOTIF) cou…

quant-ph20223 cited

Experimental realization of a topologically protected Hadamard gate via braiding Fibonacci anyons

Yu-ang Fan, Yingcheng Li, Yuting Hu +9

Topological quantum computation (TQC) is one of the most striking architectures that can realize fault-tolerant quantum computers. In TQC, the logical space and the quantum gates a…

quant-ph20221 cited

Fast Ion Gates Outside the Lamb-Dicke Regime by Robust Quantum Optimal Control

Xiaodong Yang, Yiheng Lin, Yao Lu +1

We present a robust quantum optimal control framework for implementing fast entangling gates on ion-trap quantum processors. The framework leverages tailored laser pulses to drive…

quant-ph20223 cited

Measuring Quantum Entanglement from Local Information by Machine Learning

Yulei Huang, Liangyu Che, Chao Wei +5

Entanglement is a key property in the development of quantum technologies and in the study of quantum many-body simulations. However, entanglement measurement typically requires qu…

quant-ph20222 cited

Quantum Control for Time-dependent Noise by Inverse Geometric Optimization

Xiaodong Yang, Xinfang Nie, Tao Xin +2

Quantum systems are exceedingly difficult to engineer because they are sensitive to various types of noises. In particular, time-dependent noises are frequently encountered in expe…

cs.CV202210 cited

Nested Collaborative Learning for Long-Tailed Visual Recognition

Jun Li, Zichang Tan, Jun Wan +2

The networks trained on the long-tailed dataset vary remarkably, despite the same training settings, which shows the great uncertainty in long-tailed learning. To alleviate the unc…