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cs.IT2024
Temporal Predictive Coding for Gradient Compression in Distributed Learning
Adrian Edin, Zheng Chen, Michel Kieffer +1
This paper proposes a prediction-based gradient compression method for distributed learning with event-triggered communication. Our goal is to reduce the amount of information tran…
cs.IT2023
Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?
Adrian Edin, Zheng Chen
Over-the-Air (OtA) Federated Learning (FL) refers to an FL system where multiple agents apply OtA computation for transmitting model updates to a common edge server. Two important…