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Ming Xiao — most-cited papers & profile · Federated Learning
← authors
·
overview
Ming Xiao
22
papers ·
26
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Towards Quantum Federated Learning
2023 · 14 citations
Satellite Based Computing Networks with Federated Learning
2021 · 8 citations
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
2021 · 3 citations
On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
2026
Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning
2026
Cooperative Gradient Coding
2025
Coded Robust Aggregation for Distributed Learning under Byzantine Attacks
2025
Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning
2025
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
2024
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
2024
Top co-authors
Mikael Skoglund
· 7
Shudi Weng
· 4
Chao Ren
· 3
Chengxi Li
· 2
Hao Chen
· 2
Afsaneh Mahmoudi
· 1
and H. Vincent Poor
· 1
and Mikael Skoglund
· 1
and Zhibo Pang
· 1
Deyou Zhang
· 1
Dusit Niyato
· 1
Emil Bj\"ornson
· 1
Topics
Federated Learning
Communication
Optimization
cs.DC
cs.LG
cs.AI
Security
Adversarial Attacks
Data Heterogeneity
Privacy