activity
20122024
most citedAn Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning

90 citations · 326 across the 16 of their papers we have counts for

collaborators

16 papers

cs.LG2024

Robust Generalization of Graph Neural Networks for Carrier Scheduling

Daniel F. Perez-Ramirez, Carlos Pérez-Penichet, Nicolas Tsiftes +3

Battery-free sensor tags are devices that leverage backscatter techniques to communicate with standard IoT devices, thereby augmenting a network's sensing capabilities in a scalabl…

cs.CR2023

Application-aware Energy Attack Mitigation in the Battery-less Internet of Things

Chetna Singhal, Thiemo Voigt, Luca Mottola

We study how to mitigate the effects of energy attacks in the batteryless Internet of Things (IoT). Battery-less IoT devices live and die with ambient energy, as they use energy ha…

cs.SE2023

Timing Analysis of Embedded Software Updates

Ahmed El Yaacoub, Luca Mottola, Thiemo Voigt +1

We present RETA (Relative Timing Analysis), a differential timing analysis technique to verify the impact of an update on the execution time of embedded software. Timing analysis i…

cs.CR2023

Uncharted Territory: Energy Attacks in the Battery-less Internet of Things

Luca Mottola, Arslan Hameed, Thiemo Voigt

We study how ambient energy harvesting may be used as an attack vector in the battery-less Internet of Things (IoT). Battery-less IoT devices rely on ambient energy harvesting and…

cs.LG2023★ 90 cited

An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning

Shenghui Li, Edith C. -H. Ngai, Thiemo Voigt

Byzantine-robust federated learning aims at mitigating Byzantine failures during the federated training process, where malicious participants may upload arbitrary local updates to…

cs.LG2022★ 36 cited

On-device Training: A First Overview on Existing Systems

Shuai Zhu, Thiemo Voigt, JeongGil Ko +1

The recent breakthroughs in machine learning (ML) and deep learning (DL) have catalyzed the design and development of various intelligent systems over wide application domains. Whi…

cs.CR2022

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning

Shenghui Li, Edith Ngai, Fanghua Ye +3

Federated learning (FL) facilitates distributed training across different IoT and edge devices, safeguarding the privacy of their data. The inherent distributed structure of FL int…

cs.LG2021★ 6 cited

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks

Daniel F. Perez-Ramirez, Carlos Pérez-Penichet, Nicolas Tsiftes +3

Novel backscatter communication techniques enable battery-free sensor tags to interoperate with unmodified standard IoT devices, extending a sensor network's capabilities in a scal…

cs.LG2021★ 35 cited

Auto-weighted Robust Federated Learning with Corrupted Data Sources

Shenghui Li, Edith Ngai, Fanghua Ye +1

Federated learning provides a communication-efficient and privacy-preserving training process by enabling learning statistical models with massive participants while keeping their…

cs.CR2020★ 12 cited

The Dark (and Bright) Side of IoT: Attacks and Countermeasures for Identifying Smart Home Devices and Services

Ahmed Mohamed Hussain, Gabriele Oligeri, Thiemo Voigt

We present a new machine learning-based attack that exploits network patterns to detect the presence of smart IoT devices and running services in the WiFi radio spectrum. We perfor…

cs.NI2020★ 59 cited

TunnelScatter: Low Power Communication for Sensor Tags using Tunnel Diodes

Ambuj Varshney, Andreas Soleiman, Thiemo Voigt

Due to extremely low power consumption, backscatter has become the transmission mechanism of choice for battery-free devices that operate on harvested energy. However, a limitation…

cs.NI2018★ 2 cited

Visible Light Communication for Wearable Computing

Ambuj Varshney, Luca Mottola, Thiemo Voigt

Visible Light Communication (VLC) is emerging as a means to network computing devices that ameliorates many hurdles of radio-frequency (RF) communications, for example, the limited…

cs.NI2017★ 14 cited

Five-Nines Reliable Downward Routing in RPL

Simon Duquennoy, Joakim Eriksson, Thiemo Voigt

After a decade of research in low-power data collection, reaching arbitrary nodes has received comparatively little attention. The leading protocol for low-power IPv6 routing, RPL,…

cs.NI2016★ 6 cited

Mitigating Inter-network Interference in LoRa Networks

Thiemo Voigt, Martin Bor, Utz Roedig +1

Long Range (LoRa) is a popular technology used to construct Low-Power Wide-Area Network (LPWAN) networks. Given the popularity of LoRa it is likely that multiple independent LoRa n…

cs.NI2016★ 64 cited

LoRea: A Backscatter Architecture that Achieves a Long Communication Range

Ambuj Varshney, Oliver Harms, Carlos Perez Penichet +3

There is the long-standing assumption that radio communication in the range of hundreds of meters needs to consume mWs of power at the transmitting device. In this paper, we demons…

cs.NI2012★ 2 cited

Jam-X: Wireless Agreement under Interference

Carlo Alberto Boano, Kay Römer, Marco Antonio Zúñiga +1

Wireless low-power transceivers used in sensor networks such as IEEE 802.15.4 typically operate in unlicensed frequency bands that are subject to external interference from devices…