research
∙
06/01/2023
Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback
Data-driven deep learning based code designs, including low-complexity n...
share
research
∙
11/03/2022
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes
Deep neural network (DNN)-assisted channel coding designs, such as low-c...
research
∙
08/21/2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
The increasing popularity of the federated learning framework due to its...
research
∙
06/19/2022
All you need is feedback: Communication with block attention feedback codes
Deep learning based channel code designs have recently gained interest a...
research
∙
05/30/2022
AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications
Ultra-reliable short-packet communication is a major challenge in future...
research
∙
05/23/2022
Semi-Decentralized Federated Learning with Collaborative Relaying
We present a semi-decentralized federated learning algorithm wherein cli...
research
∙
03/20/2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduce...
research
∙
02/24/2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
Intermittent client connectivity is one of the major challenges in centr...
research
∙
12/07/2021
Collaborative Learning over Wireless Networks: An Introductory Overview
In this chapter, we will mainly focus on collaborative training across w...
research
∙
06/18/2021
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks
A common observation regarding adversarial attacks is that they mostly g...
research
∙
03/01/2021
Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning
Distributed implementations are crucial in speeding up large scale machi...
research
∙
01/21/2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Federated learning (FL) enables multiple clients to collaboratively trai...
research
∙
12/16/2020
FedADC: Accelerated Federated Learning with Drift Control
Federated learning (FL) has become de facto framework for collaborative ...
research
∙
11/12/2020
Distributed Sparse SGD with Majority Voting
Distributed learning, particularly variants of distributed stochastic gr...
research
∙
11/03/2020
Gradient Coding with Dynamic Clustering for Straggler Mitigation
In distributed synchronous gradient descent (GD) the main performance bo...
research
∙
09/28/2020
Communicate to Learn at the Edge
Bringing the success of modern machine learning (ML) techniques to mobil...
research
∙
07/04/2020
Coded Distributed Computing with Partial Recovery
Coded computation techniques provide robustness against straggling worke...
research
∙
06/02/2020
Age-Based Coded Computation for Bias Reduction in Distributed Learning
Coded computation can be used to speed up distributed learning in the pr...
research
∙
04/10/2020
Straggler-aware Distributed Learning: Communication Computation Latency Trade-off
When gradient descent (GD) is scaled to many parallel workers for large ...
research
∙
03/06/2020
Decentralized SGD with Over-the-Air Computation
We study the performance of decentralized stochastic gradient descent (D...
research
∙
09/05/2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks
We study collaborative machine learning (ML) across wireless devices, ea...
research
∙
03/05/2019
Gradient Coding with Clustering and Multi-message Communication
Gradient descent (GD) methods are commonly employed in machine learning ...
research
∙
02/12/2019
Dynamic Content Updates in Heterogeneous Wireless Networks
Content storage at the network edge is a promising solution to mitigate ...
research
∙
11/22/2018
Distributed Gradient Descent with Coded Partial Gradient Computations
Coded computation techniques provide robustness against straggling serve...
research
∙
07/06/2018
Delay-Aware Coded Caching for Mobile Users
In this work, we study the trade-off between the cache capacity and the ...
research
∙
04/05/2018
Mobility-Aware Coded Storage and Delivery
Content caching at small-cell base stations (SBSs) is a promising method...
research
∙
02/04/2018
Uncoded Caching and Cross-level Coded Delivery for Non-uniform File Popularity
Proactive content caching at user devices and coded delivery is studied ...
research
∙
03/09/2017
