Publications related to EMPoWER Hybrid Networks: Exploiting Multiple Paths over Wireless and ElectRical Mediums

Global, Passive Detection of Connection Tampering

In-network devices around the world monitor and tamper with connections for many reasons, including intrusion prevention, combating spam or phishing, and country-level censorship. Connection tampering seeks to block access to specific domain names or keywo ...

New York2023

Localizing Traffic Differentiation

Pavlos Nikolopoulos, Muhammad Abdullah, Zeinab Shmeis

Network neutrality is important for users, content providers, policymakers, and regulators interested in understanding how network providers differentiate performance. When determining whether a network differentiates against certain traffic, it is importa ...

2023

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

Decentralized signal control of congested traffic networks based on the Max-Pressure (MP) controller is theoretically proven to maximize throughput, stabilize the system and balance queues for single intersections under specific conditions. However, its pe ...

2022

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Wulfram Gerstner, Clément Hongler, Johanni Michael Brea, Francesco Spadaro, Berfin Simsek, Arthur Jacot

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

2021

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Martin Jaggi, Sebastian Urban Stich, Hossein Shokri Ghadikolaei

In distributed optimization, parameter updates from the gradient computing node devices have to be aggregated in every iteration on the orchestrating server. When these updates are sent over an arbitrary commodity network, bandwidth and latency can be limi ...

MICROTOME PUBLISHING2021

Operating System and Network Co-Design for Latency-Critical Datacenter Applications

Evangelos Marios Kogias

Datacenters are the heart of our digital lives. Online applications, such as social-networking and e-commerce, run inside datacenters under strict Service Level Objectives for their tail latency. Tight latency SLOs are necessary for such services to remain ...

EPFL2020

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Kirsten Emilie Moselund, Siegfried Karg

Oscillatory neural networks based on insulator to metal transition of VO2 switches are implemented for image recognition. The VO2 oscillators are fabricated on silicon in a CMOS compatible process.A fullyconnected network of coupled oscillators is investig ...

2020

Annealing and Replica-Symmetry in Deep Boltzmann Machines

Emanuele Mingione, Diego Alberici

In this paper we study the properties of the quenched pressure of a multi-layer spin-glass model (a deep Boltzmann Machine in artificial intelligence jargon) whose pairwise interactions are allowed between spins lying in adjacent layers and not inside the ...

SPRINGER2020

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Patrick Thiran, Sébastien Christophe Henri

In recent years, multipath routing, i.e., employing several paths simultaneously, has emerged as an efficient way to provide significant throughput gains in local networks. This has been observed both with technologies that are not subject to interference, ...

2018

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Patrick Thiran, Sébastien Christophe Henri

In recent years, multipath routing, i.e., employing several paths simultaneously, has emerged as an efficient way to provide significant throughput gains in local networks. This has been observed both with technologies that are not subject to interference, ...

IEEE2018

EMPoWER Hybrid Networks: Exploiting Multiple Paths over Wireless and ElectRical Mediums

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Global, Passive Detection of Connection Tampering

Localizing Traffic Differentiation

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Operating System and Network Co-Design for Latency-Critical Datacenter Applications

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Annealing and Replica-Symmetry in Deep Boltzmann Machines

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Global, Passive Detection of Connection Tampering

LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Operating System and Network Co-Design for Latency-Critical Datacenter Applications

Annealing and Replica-Symmetry in Deep Boltzmann Machines

Optimal Number of Paths with Multipath Routing in Hybrid Networks

Critical node selection method for efficient Max-Pressure traffic signal control in large-scale congested networks

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Time-Delay Encoded Image Recognition in a Network of Resistively Coupled VO2 on Si Oscillators

Localizing Traffic Differentiation