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Miao Pan — most-cited papers & profile · Federated Learning
← authors
·
overview
Miao Pan
14
papers ·
31
citations
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Semantic Scholar ↗
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Most-cited papers
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices
2020 · 12 citations
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
2021 · 10 citations
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning
2023 · 4 citations
Service Delay Minimization for Federated Learning over Mobile Devices
2022 · 3 citations
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
2024 · 1 citations
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission
2020 · 1 citations
Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning
2025
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing
2021
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
2022
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation
2022
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
2023
Top co-authors
Dian Shi
· 3
Rui Chen
· 3
Liang Li
· 2
Liang Li
· 2
Peichun Li
· 2
Rong Yu
· 2
Xiaoqi Qin
· 2
Xumin Huang
· 2
and Shuguang Cui
· 1
and Yuguang Fang
· 1
Boyu Li
· 1
Chenpei Huang
· 1
Topics
Federated Learning
Communication
Edge Computing
Optimization
Data Heterogeneity
Privacy