127 citations · 559 across the 76 of their papers we have counts for
13 papers · 1 filter
Efficient Device Scheduling with Multi-Job Federated Learning
Chendi Zhou, Ji Liu, Juncheng Jia +4
Recent years have witnessed a large amount of decentralized data in multiple (edge) devices of end-users, while the aggregation of the decentralized data remains difficult for mach…
Neural Tangent Kernel Empowered Federated Learning
Kai Yue, Richeng Jin, Ryan Pilgrim +3
Federated learning (FL) is a privacy-preserving paradigm where multiple participants jointly solve a machine learning problem without sharing raw data. Unlike traditional distribut…
Federated Learning via Plurality Vote
Kai Yue, Richeng Jin, Chau-Wai Wong +1
Federated learning allows collaborative workers to solve a machine learning problem while preserving data privacy. Recent studies have tackled various challenges in federated learn…
Experimental Study of Outdoor UAV Localization and Tracking using Passive RF Sensing
Udita Bhattacherjee, Ender Ozturk, Ozgur Ozdemir +3
Extensive use of unmanned aerial vehicles (UAVs) is expected to raise privacy and security concerns among individuals and communities. In this context, the detection and localizati…
60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios
Kairui Du, Omkar Mujumdar, Ozgur Ozdemir +5
The high attenuation of millimeter-wave (mmWave) would significantly reduce the coverage areas, and hence it is critical to study the propagation characteristics of mmWave in multi…
Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors
Ender Ozturk, Chethan Kumar Anjinappa, Fatih Erden +3
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplex…