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Machine Learning and Wireless Communications

✍ Scribed by Yonina C. Eldar, ‎Andrea Goldsmith, ‎Deniz Gündüz, H. Vincent Poor

Publisher
Cambridge University Press
Year
2022
Tongue
English
Leaves
559
Category
Library
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✦ Table of Contents

00.0 9781108832984
01.0_pp_i_iv_Frontmatter
02.0_pp_v_vi_Dedication
03.0_pp_vii_viii_Contents
04.0_pp_ix_xii_Contributors
05.0_pp_xiii_xiv_Preface
06.0_pp_1_20_Machine_Learning_and_Communications_An_Introduction
07.0_pp_21_22_Machine_Learning_for_Wireless_Networks
07.1_pp_23_54_Deep_Neural_Networks_for_Joint_Source-Channel_Coding
07.2_pp_55_76_Neural_Network_Coding
07.3_pp_77_109_Channel_Coding_via_Machine_Learning
07.4_pp_110_144_Channel_Estimation_Feedback_and_Signal_Detection
07.5_pp_145_181_Model-Based_Machine_Learning_for_Communications
07.6_pp_182_211_Constrained_Unsupervised_Learning_for_Wireless_Network_Optimization
07.7_pp_212_230_Radio_Resource_Allocation_in_Smart_Radio_Environments
07.8_pp_231_284_Reinforcement_Learning_for_Physical_Layer_Communications
07.9_pp_285_316_Data-Driven_Wireless_Networks_Scalability_and_Uncertainty
07.10_pp_317_350_Capacity_Estimation_Using_Machine_Learning
08.0_pp_351_352_Wireless_Networks_for_Machine_Learning
08.1_pp_353_384_Collaborative_Learning_over_Wireless_Networks_An_Introductory_Overview
08.2_pp_385_408_Optimized_Federated_Learning_in_Wireless_Networks_with_Constrained_Resources
08.3_pp_409_433_Quantized_Federated_Learning
08.4_pp_434_456_Over-the-Air_Computation_for_Distributed_Learning_over_Wireless_Networks
08.5_pp_457_485_Federated_Knowledge_Distillation
08.6_pp_486_511_Differentially_Private_Wireless_Federated_Learning
08.7_pp_512_538_Timely_Wireless_Edge_Inference
09.0_pp_539_544_Index

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