activity
20142023
most citedStochastic-Sign SGD for Federated Learning with Theoretical Guarantees

19 citations · 25 across the 6 of their papers we have counts for

collaborators

8 papers

cs.SI2023

Theoretical bounds on the network community profile from low-rank semi-definite programming

Yufan Huang, C. Seshadhri, David F. Gleich

We study a new connection between a technical measure called -conductance that arises in the study of Markov chains for sampling convex bodies and the network community profile…

cs.DM2023

A Cheeger Inequality for Size-Specific Conductance

Yufan Huang, David F. Gleich

The -conductance measure proposed by Lovász and Simonovits is a size-specific conductance score that identifies the set with smallest conductance while disregarding those sets w…

cs.SI2022★ 1 cited

A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings

Disha Shur, Yufan Huang, David F. Gleich

We study a simple embedding technique based on a matrix of personalized PageRank vectors seeded on a random set of nodes. We show that the embedding produced by the element-wise lo…

cs.DS2021

Hardness of Graph-Structured Algebraic and Symbolic Problems

Jingbang Chen, Yu Gao, Yufan Huang +2

In this paper, we study the hardness of solving graph-structured linear systems with coefficients over a finite field and over a polynomial ring $\mathbb{F}[x_1,\ldo…

cs.CL2021★ 4 cited

Continual Learning for Text Classification with Information Disentanglement Based Regularization

Yufan Huang, Yanzhe Zhang, Jiaao Chen +2

Continual learning has become increasingly important as it enables NLP models to constantly learn and gain knowledge over time. Previous continual learning methods are mainly desig…

cs.LG2020★ 19 cited

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Richeng Jin, Yufan Huang, Xiaofan He +2

Federated learning (FL) has emerged as a prominent distributed learning paradigm. FL entails some pressing needs for developing novel parameter estimation approaches with theoretic…

cs.CR2019

On the Privacy Guarantees of Gossip Protocols in General Networks

Richeng Jin, Yufan Huang, Huaiyu Dai

Recently, the privacy guarantees of information dissemination protocols have attracted increasing research interests, among which the gossip protocols assume vital importance in va…

cs.NI2014★ 1 cited

Mobile Conductance in Sparse Networks and Mobility-Connectivity Tradeoff

Huazi Zhang, Yufan Huang, Zhaoyang Zhang +1

In this paper, our recently proposed mobile-conductance based analytical framework is extended to the sparse settings, thus offering a unified tool for analyzing information spread…