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Ming Xiang — most-cited papers & profile · Federated Learning
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overview
Ming Xiang
4
papers ·
4
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
2023 · 2 citations
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
2024 · 2 citations
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms
2022
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
2024
Top co-authors
Edmund Yeh
· 3
Stratis Ioannidis
· 3
Carlee Joe-Wong
· 2
Lili Su
· 2
Lili Su
· 2
Carlee Joe‐Wong
· 1
Topics
Federated Learning
Communication
Optimization
Privacy
Data Heterogeneity