Songze Li | DeepAI

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Jun Zhang
202 publications
Jie Li
179 publications
Giuseppe Caire
151 publications
Kai Zhang
131 publications
Ming Ding
103 publications
Lichao Sun
67 publications
Jin Liu
61 publications
Pramod Viswanath
54 publications
Xiang Zhou
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Salman Avestimehr
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Mahdi Soltanolkotabi
51 publications

∙ 04/26/2023

FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models

In a vertical federated learning (VFL) system consisting of a central se...

0 Songze Li, et al. ∙

∙ 04/25/2023

Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning

In a federated learning (FL) system, distributed clients upload their lo...

0 Yanbo Dai, et al. ∙

∙ 04/20/2023

Scene Style Text Editing

In this work, we propose a task called "Scene Style Text Editing (SSTE)"...

0 Tonghua Su, et al. ∙

∙ 04/15/2023

Multi-Server Secure Aggregation with Unreliable Communication Links

In many distributed learning setups such as federated learning (FL), cli...

0 Kai Liang, et al. ∙

∙ 04/11/2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

The transferability of adversarial examples is a crucial aspect of evalu...

0 Tony Ma, et al. ∙

∙ 12/16/2022

Coded Distributed Computing for Hierarchical Multi-task Learning

In this paper, we consider a hierarchical distributed multi-task learnin...

0 Haoyang Hu, et al. ∙

∙ 11/08/2022

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design

Federated learning (FL) has achieved great success as a privacy-preservi...

6 Yuchang Sun, et al. ∙

∙ 10/06/2022

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

Federated learning (FL) strives to enable collaborative training of mach...

5 Jiawei Shao, et al. ∙

∙ 06/18/2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

We consider a federated representation learning framework, where with th...

0 Jiaxiang Tang, et al. ∙

∙ 05/31/2022

Secure Federated Clustering

We consider a foundational unsupervised learning task of k-means data cl...

0 Songze Li, et al. ∙

∙ 05/03/2022

Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers

In this paper, we study the two problems of Private and Secure Matrix Mu...

0 Jinbao Zhu, et al. ∙

∙ 04/24/2022

Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff

We consider the problem of evaluating arbitrary multivariate polynomials...

0 Jinbao Zhu, et al. ∙

∙ 03/24/2022

SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning

We propose SwiftAgg+, a novel secure aggregation protocol for federated ...

0 Tayyebeh Jahani-Nezhad, et al. ∙

∙ 02/08/2022

SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees

We propose SwiftAgg, a novel secure aggregation protocol for federated l...

0 Tayyebeh Jahani-Nezhad, et al. ∙

∙ 01/25/2022

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees

Federated learning (FL) has attracted much attention as a privacy-preser...

2 Yuchang Sun, et al. ∙

∙ 01/03/2022

A Systematic Approach towards Efficient Private Matrix Multiplication

We consider the problems of Private and Secure Matrix Multiplication (PS...

0 Jinbao Zhu, et al. ∙

∙ 09/29/2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning

Secure model aggregation is a key component of federated learning (FL) t...

0 Chien-Sheng Yang, et al. ∙

∙ 07/12/2021

OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning

We propose OmniLytics, a blockchain-based secure data trading marketplac...

0 Jiacheng Liang, et al. ∙

∙ 11/22/2020

TaiJi: Longest Chain Availability with BFT Fast Confirmation

Most state machine replication protocols are either based on the 40-year...

0 Songze Li, et al. ∙

∙ 10/02/2019

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains

In this paper, we propose coded Merkle tree (CMT), a novel hash accumula...

0 Mingchao Yu, et al. ∙

∙ 06/26/2019

Coded State Machine -- Scaling State Machine Execution under Byzantine Faults

We introduce an information-theoretic framework, named Coded State Machi...

0 Songze Li, et al. ∙

∙ 11/08/2018

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training

Distributed training of deep nets is an important technique to address s...

0 Youjie Li, et al. ∙

∙ 11/08/2018

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training

Data parallelism can boost the training speed of convolutional neural ne...

0 Mingchao Yu, et al. ∙

∙ 09/27/2018

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously

Today's blockchains do not scale in a meaningful sense. As more nodes jo...

0 Songze Li, et al. ∙

∙ 05/24/2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding

We consider the problem of training a least-squares regression model on ...

0 Songze Li, et al. ∙

∙ 05/05/2018

Compressed Coded Distributed Computing

Communication overhead is one of the major performance bottlenecks in la...

0 Songze Li, et al. ∙

∙ 10/27/2017

Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Modern learning algorithms use gradient descent updates to train inferen...

0 Songze Li, et al. ∙

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