Jianghui Cai

International Journal of Machine Learning and Cybernetics · 2022

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Jianghui Cai's perspective

Ordered by how strongly the researchers Jianghui Cai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Communication-Efficient Learning of Deep Networks from Decentralized Data
  2. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  3. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  4. Protocols for secure computations
  5. Federated Learning of Deep Networks using Model Averaging
  6. Differentially Private Federated Learning: A Client Level Perspective
  7. Sharemind: A Framework for Fast Privacy-Preserving Computations
  8. Privacy‐preserving federated learning based on multi‐key homomorphic encryption (International Journal of Intelligent Systems)
  9. A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN (IEEE Transactions on Services Computing)
  10. A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus (IEEE Network)

Their papers