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Latency-aware federated dueling deep reinforcement learning framework with pruning for energy efficient iot devices / Shristy.

By: Shristy

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2024Description: xviii, 50pDDC classification: 621.38 Dissertation note: Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024 Guide / Supervisor: Kumar, Krishan

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library	621.38 SHR (Browse shelf)	Available		TH-2466

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Previous	621.38 SHO Design and evaluation of subscalar caches in risc-v instance	621.38 SHR Performance analysis of fd soi dual material gate (dmg) mosfet	621.38 SHR Design and analysis of digital circuits using carbon nanomaterial based transistor for multivalued logic	621.38 SHR Latency-aware federated dueling deep reinforcement learning framework with pruning for energy efficient iot devices /	621.38 SHU Performance analysis of fso system under the effect of avalanche photo-diode detector	621.38 SHU Detection of landcover changes in sentinel-1 images	621.38 SHU Improved polsar image edge detection though sirv paradigm and carter-shaped filter /	Next

Master of Technology, Department of Electronics and Communication Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024

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Latency-aware federated dueling deep reinforcement learning framework with pruning for energy efficient iot devices / Shristy.

By: Shristy

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