Federated learning: fundamentals and advances
Material type: TextLanguage: English Publication details: Switzerland Springer 2023ISBN:- 9789811970825
- 006.31 T23 JIN
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006.31 T21 SAN Deep reinforcement learning with python | 006.31 T22 0SB S Applying reinforcement learning on real world data with practical examples | 006.31 T22 SIL C Transfer learning for multiagent reinforcement learning systems | 006.31 T23 JIN Federated learning: fundamentals and advances | 006.31 T23 NAR Data science and machine learning: interview questions using python | 006.31 T23 PAT Getting started with deep learning for natural language processing | 006.310151252 T14 KUN Kernel methods and machine learning |
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