58 citations · 176 across the 35 of their papers we have counts for
12 papers · 1 filter
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
Pranay Sharma, Kaidi Xu, Sijia Liu +3
In this work, we focus on the study of stochastic zeroth-order (ZO) optimization which does not require first-order gradient information and uses only function evaluations. The pro…
Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li, Gang Li, Pramod K. Varshney
In this paper, we investigate the problem of decentralized federated learning (DFL) in Internet of things (IoT) systems, where a number of IoT clients train models collectively for…
On Performance Comparison of Multi-Antenna HD-NOMA, SCMA and PD-NOMA Schemes
Animesh Yadav, Chen Quan, Pramod K. Varshney +1
In this paper, we study the uplink channel throughput performance of a proposed novel multiple-antenna hybrid-domain non-orthogonal multiple access (MA-HD-NOMA) scheme. This scheme…
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network
Xiancheng Cheng, Prashant Khanduri, Boxiao Chen +1
In this work, we propose a joint collaboration-compression framework for sequential estimation of a random vector parameter in a resource constrained wireless sensor network (WSN).…
A Novel Spectrally-Efficient Uplink Hybrid-Domain NOMA System
Chen Quan, Animesh Yadav, Baocheng Geng +2
This paper proposes a novel hybrid-domain (HD) non-orthogonal multiple access (NOMA) approach to support a larger number of uplink users than the recently proposed code-domain NOMA…
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura +3
Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in many signal processing and machine learning applications. It is used for solving optimizati…