Deniz Gunduz
Imperial College London
596 Papers
2.3K Citations
Deniz Gunduz is an academic researcher from Imperial College London. The author has contributed to research in topics: Computer science & Communication channel. The author has an hindex of 52, co-authored 505 publications. Previous affiliations of Deniz Gunduz include Princeton University & Norwegian University of Science and Technology.
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Papers
•Posted Content
Interference Networks with Caches at Both Ends
TL;DR: The results indicate that, for this particular network architecture, caches located at the receiver side are more effective than those at the transmitter side in order to reduce the NDT.
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Decentralized SGD with Over-the-Air Computation
Emre Ozfatura,Stefano Rini,Deniz Gunduz +2 more
- 01 Dec 2020
TL;DR: In this paper, the authors consider multiple devices with local datasets collaboratively learning a global model through device-to-device (D2D) communications and design the communication and learning protocols jointly.
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•Posted Content
Distributed Gradient Descent with Coded Partial Gradient Computations.
TL;DR: A hybrid approach is introduced, called coded partial gradient computation (CPGC), that benefits from the advantages of both coded and uncoded computation schemes, and reduces both the computation time and decoding complexity.
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•Posted Content
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis.
TL;DR: In this paper, the effects of wireless channel hostilities (channel noise, fading, and channel estimation errors) on the convergence rate of a federated edge learning (FEEL) scheme were analyzed.
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CNN-Based Analog CSI Feedback in FDD MIMO-OFDM Systems
Mahdi Boloursaz Mashhadi,Qianqian Yang,Deniz Gunduz +2 more
- 04 May 2020
TL;DR: This work proposes here a Convolutional neural network (CNN)-based analog feedback scheme, called AnalogDeepCMC, which directly maps the downlink CSI to uplink channel input and provides a low-latency alternative particularly in rapidly changing MIMO channels, where the CSI needs to be estimated and fed back periodically.
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