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20172022
most citedGT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning

2 citations · 5 across the 8 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.SY20211 cited

Clustering-based Multicast Scheme for UAV Networks

Hao Song, Lingjia Liu, Bodong Shang +2

When an unmanned aerial vehicle (UAV) network is utilized as an aerial small base station (BS), like a relay deployed far away from macro BSs, existing multicast methods based on a…

cs.NI20211 cited

Implementation of a Multi-Beam MAC Protocol for Multi-Hop Wireless Networks in Riverbed Modeler

Shivam Garg, Nandini Venkatraman, Soroush Tamizi +3

Recent advances in antenna technology have made the design of multi-beam antennas (MBA) feasible. Compared to an omni-directional or a single beam directional antenna, an MBA equip…

cs.LG20211 cited

CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning

Haibo Yang, Jia Liu, Elizabeth S. Bentley

Federated learning (FL) is a prevailing distributed learning paradigm, where a large number of workers jointly learn a model without sharing their training data. However, high comm…

cs.LG20212 cited

GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning

Xin Zhang, Jia Liu, Zhengyuan Zhu +1

Decentralized nonconvex optimization has received increasing attention in recent years in machine learning due to its advantages in system robustness, data privacy, and implementat…

cs.NI2021

OPAR: Optimized Predictive and Adaptive Routing for Cooperative UAV Networks

Mohammed Gharib, Fatemeh Afghah, Elizabeth Bentley

Cooperative UAV networks are becoming increasingly popular in military and civilian applications. Alas, the typical ad-hoc routing protocols, which aim at finding the shortest path…