Search Results for author: Chien-Chung Shen

Found 4 papers, 1 papers with code

B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction

no code implementations23 Oct 2023 Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark Nejad

The results indicate that the proposed system can facilitate secure and decentralized federated learning for real-world traffic prediction tasks.

Federated Learning Privacy Preserving +1

Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus

2 code implementations9 Jan 2021 Hang Chen, Syed Ali Asif, Jihong Park, Chien-Chung Shen, Mehdi Bennis

Federated learning (FL) is a promising distributed learning solution that only exchanges model parameters without revealing raw data.

Federated Learning

Location-aware sign-on and key exchange using attribute-based encryption and Bluetooth beacons

no code implementations27 Apr 2015 Marcos Portnoi, Chien-Chung Shen

This work presents a mobile sign-on scheme, which utilizes Bluetooth Low Energy beacons for location awareness and Attribute-Based Encryption for expressive, broadcast-style key exchange.

Cryptography and Security

Information Transfer in Swarms with Leaders

no code implementations30 Jun 2014 Yu Sun, Louis F. Rossi, Chien-Chung Shen, Jennifer Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Upul Senanayake

Depending upon the leadership model, leaders can use their external information either all the time or in response to local conditions [Couzin et al. 2005; Sun et al. 2013].

Cannot find the paper you are looking for? You can Submit a new open access paper.