Jake B. Perazzone

24 papers A* 2B 2Misc 2Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization.
CoRR
Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan
2025 J jnl
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization.
IEEE Trans. Netw.
Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
2025 Misc conf
Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm.
ICASSP
Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2024 Misc conf
Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks.
ICASSP
Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra
2024 J jnl
Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm.
CoRR
Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra
2024 J jnl
Learning to Transmit With Provable Guarantees in Wireless Federated Learning.
IEEE Trans. Wirel. Commun.
Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2024 B conf
Optimal Update Policy for the Monitoring of Distributed Sources.
ISIT
Eric Graves, Jake B. Perazzone, Kevin S. Chan
2024 J jnl
Optimal Update Policy for the Monitoring of Distributed Sources.
CoRR
Eric Graves, Jake B. Perazzone, Kevin S. Chan
2023 — conf
Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments.
MILCOM
Olena Tkachenko, Sean Harding, Cleon Anderson, Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan
2023 J jnl
Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks.
CoRR
Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Santiago Segarra
2023 A* conf
Federated Learning with Flexible Control.
INFOCOM
Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan
2023 J jnl
Learning to Transmit with Provable Guarantees in Wireless Federated Learning.
CoRR
Boning Li, Jake B. Perazzone, Ananthram Swami, Santiago Segarra
2022 A* conf
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization.
INFOCOM
Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan
2022 J jnl
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization.
CoRR
Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
2022 — conf
Enabling Machine Learning on Resource-constrained Tactical Networks.
MILCOM
Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan, Cleon Anderson, Scott E. Brown
2022 J jnl
Federated Learning with Flexible Control.
CoRR
Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan
2022 J jnl
Secret Key-Enabled Authenticated-Capacity Region, Part - II: Typical-Authentication.
IEEE Trans. Inf. Theory
Eric Graves, Jake B. Perazzone, Paul L. Yu, Rick S. Blum
2022 J jnl
Secret Key-Enabled Authenticated-Capacity Region, Part I: Average Authentication.
IEEE Trans. Inf. Theory
Jake B. Perazzone, Eric Graves, Paul L. Yu, Rick S. Blum
2020 J jnl
Secret key authentication capacity region, Part I: average authentication rate.
CoRR
Jake B. Perazzone, Eric Graves, Paul L. Yu, Rick S. Blum
2020 J jnl
Secret key authentication capacity region, Part II: typical authentication rate.
CoRR
Eric Graves, Jake B. Perazzone, Paul L. Yu, Rick S. Blum
2018 J jnl
Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding.
IEEE Trans. Inf. Forensics Secur.
Jake B. Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum
2018 B conf
Inner Bound for the Capacity Region of Noisy Channels with an Authentication Requirement.
ISIT
Jake B. Perazzone, Eric Graves, Paul L. Yu, Rick S. Blum
2018 J jnl
Inner Bound for the Capacity Region of Noisy Channels with an Authentication Requirement.
CoRR
Jake B. Perazzone, Eric Graves, Paul L. Yu, Rick S. Blum
2016 — conf
Authenticated side channel via physical layer fingerprinting.
CNS
Paul L. Yu, Jake B. Perazzone, Brian M. Sadler, Rick S. Blum