Zhixia Zhang

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.

Whom Zhixia Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. H. Brendan McMahan
  2. Takayuki Nishio
  3. Robin C. Geyer

Papers from Zhixia Zhang's perspective

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

  1. Communication-Efficient Learning of Deep Networks from Decentralized Data
  2. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  3. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
  4. Federated Learning of Deep Networks using Model Averaging
  5. Protocols for secure computations
  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