Optimizing Fault Tolerance and Latency of Federated Learning Using Edge Servers and Pre-Trained Model
Federated learning (FL) presents a promising paradigm for decentralized machine learning, particularly well-suited for data-sensitive cyber-physical systems (CPS) where privacy preservation and low-latency inference are paramount. However, FL deployments at the edge face acute challenges in fault to...
সংরক্ষণ করুন:
| প্রধান লেখক: | , , , , , , , |
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| বিন্যাস: | Artigo |
| ভাষা: | Inglês |
| প্রকাশিত: |
IEEE
2025-01-01
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| মালা: | IEEE Access |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://ieeexplore.ieee.org/document/11153937/ |
| ট্যাগগুলো: |
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