41 citations · 235 across the 22 of their papers we have counts for
5 papers · 1 filter
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
Bingyan Liu, Yifeng Cai, Ziqi Zhang +5
Federated learning (FL) has emerged as an effective solution to decentralized and privacy-preserving machine learning for mobile clients. While traditional FL has demonstrated its…
Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO
Ningyu He, Weihang Su, Zhou Yu +7
The continuing expansion of the blockchain ecosystems has attracted much attention from the research community. However, although a large number of research studies have been propo…
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
Bingyan Liu, Yao Guo, Xiangqun Chen
Federated learning (FL) has become a prevalent distributed machine learning paradigm with improved privacy. After learning, the resulting federated model should be further personal…
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
Bingyan Liu, Yifeng Cai, Yao Guo +1
The increasing of pre-trained models has significantly facilitated the performance on limited data tasks with transfer learning. However, progress on transfer learning mainly focus…
CHAMP: Characterizing Undesired App Behaviors from User Comments based on Market Policies
Yangyu Hu, Haoyu Wang, Tiantong Ji +4
Millions of mobile apps have been available through various app markets. Although most app markets have enforced a number of automated or even manual mechanisms to vet each app bef…