5 citations · 5 across the 12 of their papers we have counts for
6 papers · 1 filter
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
Md Nahid Hasan Shuvo, Moinul Hossain, Anik Mallik +2
Federated Learning (FL) enables collaborative model training across distributed devices while safeguarding data and user privacy. However, FL remains susceptible to privacy threats…
Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks
Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3
Backpressure (BP) routing and scheduling is an established resource allocation method for wireless multi-hop networks, noted for its fully distributed operation and maximum queue s…
Deep Reinforcement Learning for Multi-flow Routing in Heterogeneous Wireless Networks
Brian Kim, Justin H. Kong, Terrence J. Moore +1
Due to the rapid growth of heterogeneous wireless networks (HWNs), where devices with diverse communication technologies coexist, there is increasing demand for efficient and adapt…
Deep Reinforcement Learning Based Routing for Heterogeneous Multi-Hop Wireless Networks
Brian Kim, Justin H. Kong, Terrence J. Moore +1
Routing in multi-hop wireless networks is a complex problem, especially in heterogeneous networks where multiple wireless communication technologies coexist. Reinforcement learning…
Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces
Zhongyuan Zhao, Yujun Ming, Ananthram Swami +3
Backpressure (BP) routing and scheduling is a well-established resource allocation method for wireless multi-hop networks, known for its fully distributed operations and proven max…
Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks
Amna Gillani, Beatriz Lorenzo, Majid Ghaderi +2
Nodes in contemporary radio networks often have multiple interfaces available for communication: WiFi, cellular, LoRa, Zigbee, etc. This motivates understanding both link and netwo…