60 citations · 72 across the 5 of their papers we have counts for
5 papers
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
Boyang Li, Bingyu Shen, Qing Lu +2
The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) conse…
Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home
Boyang Li, Jie Wu, Yiyu Shi
A Smart Home provides integrating and electronic information services to help residential users manage their energy usage and bill cost but also exposes users to significant privac…
Real-Time Adversarial Attacks
Yuan Gong, Boyang Li, Christian Poellabauer +1
In recent years, many efforts have demonstrated that modern machine learning algorithms are vulnerable to adversarial attacks, where small, but carefully crafted, perturbations on…
DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Services
Boyang Li, Changhao Chenli, Xiaowei Xu +2
With the increasing artificial intelligence application, deep neural network (DNN) has become an emerging task. However, to train a good deep learning model will suffer from enormo…
Energy-recycling Blockchain with Proof-of-Deep-Learning
Changhao Chenli, Boyang Li, Yiyu Shi +1
An enormous amount of energy is wasted in Proofof-Work (PoW) mechanisms adopted by popular blockchain applications (e.g., PoW-based cryptocurrencies), because miners must conduct a…