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Wei Ni — most-cited papers & profile · Federated Learning
← authors
·
overview
Wei Ni
35
papers ·
31
citations ·
39
h-index
Edith Cowan University · Commonwealth Scientific and Industrial Research Organisation · Fudan University · UNSW Sydney · Mianyang City Center for Disease Control and Prevention
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Most-cited papers
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
2023 · 4 citations
A Secure Aggregation for Federated Learning on Long-Tailed Data
2023 · 3 citations
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach
2023 · 3 citations
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT
2022 · 2 citations
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
2023 · 2 citations
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
2023 · 2 citations
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions
2023 · 2 citations
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
2023 · 2 citations
BlockFUL: Enabling Unlearning in Blockchained Federated Learning
2024 · 1 citations
Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning
2022 · 1 citations
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach
2024 · 1 citations
SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
2025
Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
2025
Top co-authors
Guangsheng Yu
· 5
Ren Ping Liu
· 4
and H. Vincent Poor
· 3
Caijun Sun
· 3
Ekram Hossain
· 3
Erwu Liu
· 3
Jingjing Zheng
· 3
Ping Yu
· 3
Tiejun Lv
· 3
Abbas Jamalipour
· 2
and Abbas Jamalipour
· 2
Baihe Ma
· 2
Topics
Federated Learning
Communication
Edge Computing
Privacy
Data Heterogeneity
Optimization