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20082024
most citedTowards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges

76 citations · 139 across the 23 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Hierarchical Over-the-Air Federated Edge Learning

Ozan Aygün, Mohammad Kazemi, Deniz Gündüz +1

Federated learning (FL) over wireless communication channels, specifically, over-the-air (OTA) model aggregation framework is considered. In OTA wireless setups, the adverse channe…

cs.LG2021

Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory

Eduin E. Hernandez, Stefano Rini, Tolga M. Duman

In this paper, an algorithm for approximate evaluation of back-propagation in DNN training is considered, which we term Approximate Outer Product Gradient Descent with Memory (Mem-…

eess.SP2021★ 76 cited

Towards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges

Mert Kalfa, Mehmetcan Gok, Arda Atalik +3

Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their…

cs.IT2021

Random Spreading for Unsourced MAC with Power Diversity

Mohammad Javad Ahmadi, Tolga M. Duman

We propose an improvement of the random spreading approach with polar codes for unsourced multiple access. Each user encodes its message by a polar code, and the coded bits are the…

cs.DC2021

Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication

Busra Tegin, Eduin. E. Hernandez, Stefano Rini +1

Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for the computations at t…