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09/04/2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Local stochastic gradient descent (SGD) is a fundamental approach in ach...
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06/09/2023
Adaptive Multi-Armed Bandit Learning for Task Offloading in Edge Computing
The widespread adoption of edge computing has emerged as a prominent tre...
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05/10/2023
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network
Cloud native technology has revolutionized 5G beyond and 6G communicatio...
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01/21/2023
ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less
Wall-clock convergence time and communication rounds are critical perfor...
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10/31/2022
Communication-Efficient Local SGD with Age-Based Worker Selection
A major bottleneck of distributed learning under parameter-server (PS) f...
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10/06/2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization
Synchronous local stochastic gradient descent (local SGD) suffers from s...
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02/15/2022
Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation
With rising male infertility, sperm head morphology classification becom...
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01/12/2022
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
Wall-clock convergence time and communication load are key performance m...
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08/25/2021
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
Today's research in recommender systems is largely based on experimental...
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05/08/2021
Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations
Matrix factorization is an important representation learning algorithm, ...
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11/29/2020
Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network
The Gleason grading system using histological images is the most powerfu...
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05/13/2020
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning
Most of the Zero-Shot Learning (ZSL) algorithms currently use pre-traine...
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04/29/2020
Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication
A multi-cell mobile edge computing network is studied, in which each use...
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12/16/2019
ITENE: Intrinsic Transfer Entropy Neural Estimator
Quantifying the directionality of information flow is instrumental in un...
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11/29/2019
Boros: Secure Cross-Channel Transfers via Channel Hub
The payment channel, which allows two parties to perform micropayments w...
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08/12/2019
Fundamental Limits of Wireless Caching under Uneven-Capacity Channels
This work identifies the fundamental limits of cache-aided coded multica...
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05/22/2019
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning
Gradient-based distributed learning in Parameter Server (PS) computing a...
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04/11/2019
On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
Consider a mobile edge computing system in which users wish to obtain th...
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01/20/2019
Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users
This paper considers a cloud-RAN architecture with cache-enabled multi-a...
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01/16/2019
Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI
Distributed computing platforms typically assume the availability of rel...
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08/20/2018
Improved Latency-Communication Trade-Off for Map-Shuffle-Reduce Systems with Stragglers
In a distributed computing system operating according to the map-shuffle...
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05/25/2018
Cloud-Edge Non-Orthogonal Transmission for Fog Networks with Delayed CSI at the Cloud
In a Fog Radio Access Network (F-RAN), the cloud processor (CP) collects...
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12/12/2017
