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05/22/2023
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
Federated learning (FL) has emerged as a key technique for distributed m...
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03/15/2023
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
Semi-decentralized federated learning blends the conventional device to-...
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03/15/2023
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks
Federated learning (FL) has been promoted as a popular technique for tra...
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08/17/2022
Interference Cancellation GAN Framework for Dynamic Channels
Symbol detection is a fundamental and challenging problem in modern comm...
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08/04/2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Federated learning (FL) has been recognized as one of the most promising...
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03/26/2022
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point
We propose cooperative edge-assisted dynamic federated learning (CE-FL)....
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03/23/2022
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
Federated learning is a prime candidate for distributed machine learning...
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02/07/2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
Federated learning (FedL) has emerged as a popular technique for distrib...
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12/21/2021
Adversarial Neural Networks for Error Correcting Codes
Error correcting codes are a fundamental component in modern day communi...
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12/21/2021
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Edge computing has revolutionized the world of mobile and wireless netwo...
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06/29/2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
We consider distributed machine learning (ML) through unmanned aerial ve...
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04/19/2021
Improving Adversarial Robustness Using Proxy Distributions
We focus on the use of proxy distributions, i.e., approximations of the ...
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03/22/2021
SSD: A Unified Framework for Self-Supervised Outlier Detection
We ask the following question: what training information is required to ...
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01/04/2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
The conventional federated learning (FedL) architecture distributes mach...
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11/11/2020
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing
In recent years, edge computing has become a popular choice for latency-...
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10/19/2020
RobustBench: a standardized adversarial robustness benchmark
Evaluation of adversarial robustness is often error-prone leading to ove...
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07/29/2020
Paid Prioritization with Content Competition
We study the effects of allowing paid prioritization arrangements in a m...
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07/26/2020
Fast-Convergent Federated Learning
Federated learning has emerged recently as a promising solution for dist...
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06/24/2020
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks
With increasing expressive power, deep neural networks have significantl...
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06/07/2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks
Contemporary network architectures are pushing computing tasks from the ...
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04/20/2020
Securing Internet Applications from Routing Attacks
Attacks on Internet routing are typically viewed through the lens of ava...
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12/20/2019
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Cyberphysical systems (CPS) are ubiquitous in our personal and professio...
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12/16/2019
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming
Storage has become a constrained resource on smartphones. Gaming is a po...
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05/05/2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
A large body of recent work has investigated the phenomenon of evasion a...
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11/06/2018
Characterizing Task Completion Latencies in Fog Computing
Fog computing, which distributes computing resources to multiple locatio...
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06/22/2018
Personalized Thread Recommendation for MOOC Discussion Forums
Social learning, i.e., students learning from each other through social ...
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06/09/2018
An Estimation and Analysis Framework for the Rasch Model
The Rasch model is widely used for item response analysis in application...
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02/18/2018
DARTS: Deceiving Autonomous Cars with Toxic Signs
Sign recognition is an integral part of autonomous cars. Any misclassifi...
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02/11/2018
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation
Co-flows model a modern scheduling setting that is commonly found in a v...
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02/01/2018
Linearized Binary Regression
Probit regression was first proposed by Bliss in 1934 to study mortality...
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01/09/2018
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos
We propose a new real-world attack against the computer vision based sys...
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01/05/2018
Tempest: Temporal Dynamics in Anonymity Systems
Many recent proposals for anonymous communication omit from their securi...
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12/21/2017
Acoustic Denial of Service Attacks on HDDs
Among storage components, hard disk drives (HDDs) have become the most c...
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11/30/2017
