16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.IT2022
Learning Progressive Distributed Compression Strategies from Local Channel State Information
Foad Sohrabi, Tao Jiang, Wei Yu
This paper proposes a deep learning framework to design distributed compression strategies in which distributed agents need to compress high-dimensional observations of a source, t…
cs.LG2022★ 16 cited
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
Chencheng Xu, Zhiwei Hong, Minlie Huang +1
Federated learning (FL) enables distributed optimization of machine learning models while protecting privacy by independently training local models on each client and then aggregat…