activity
20172022
most citedDReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

21 citations · 70 across the 12 of their papers we have counts for

collaborators

17 papers

cs.LG20228 cited

Secure Federated Clustering

Songze Li, Sizai Hou, Baturalp Buyukates +1

We consider a foundational unsupervised learning task of -means data clustering, in a federated learning (FL) setting consisting of a central server and many distributed clients…

cs.IT20223 cited

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

Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li +1

We propose SwiftAgg, a novel secure aggregation protocol for federated learning systems, where a central server aggregates local models of distributed users, each of size ,…

cs.CR2020

TaiJi: Longest Chain Availability with BFT Fast Confirmation

Songze Li, David Tse

Most state machine replication protocols are either based on the 40-years-old Byzantine Fault Tolerance (BFT) theory or the more recent Nakamoto's longest chain design. Longest cha…

cs.IT2020

Symmetric Private Polynomial Computation From Lagrange Encoding

Jinbao Zhu, Qifa Yan, Xiaohu Tang +1

The problem of -secure -colluding symmetric Private Polynomial Computation (PPC) from coded storage system with Byzantine and unresponsive servers is studied in this…

cs.LG2020

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So +17

Federated learning (FL) is a rapidly growing research field in machine learning. However, existing FL libraries cannot adequately support diverse algorithmic development; inconsist…

cs.CR20199 cited

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains

Mingchao Yu, Saeid Sahraei, Songze Li +3

In this paper, we propose coded Merkle tree (CMT), a novel hash accumulator that offers a constant-cost protection against data availability attacks in blockchains, even if the maj…