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08/19/2023
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
Internet of Things (IoT) technologies have enabled numerous data-driven ...
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06/01/2023
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications
Federated learning (FL) is a decentralized learning framework wherein a ...
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05/23/2023
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing
Careful placement of a computational application within a target device ...
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03/20/2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Federated Learning (FL) enables machine learning model training on distr...
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01/11/2023
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
With the rapid acceleration of transportation electrification, public ch...
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11/13/2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Much of the value that IoT (Internet-of-Things) devices bring to “smart”...
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09/28/2022
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
In edge computing, users' service profiles must be migrated in response ...
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09/17/2022
pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning
Personalized federated learning allows for clients in a distributed syst...
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09/06/2022
Hierarchical Conversational Preference Elicitation with Bandit Feedback
The recent advances of conversational recommendations provide a promisin...
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08/31/2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
In this paper, we study the combinatorial semi-bandits (CMAB) and focus ...
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05/24/2022
Faithful Explanations for Deep Graph Models
This paper studies faithful explanations for Graph Neural Networks (GNNs...
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03/02/2022
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures
Cascading failures are a common phenomenon in complex networked systems ...
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03/02/2022
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework
On-demand and resource reservation pricing models have been widely used ...
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01/28/2022
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Distributed methods for training models on graph datasets have recently ...
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12/11/2021
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
Traditionally, clustered federated learning groups clients with the same...
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10/11/2021
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
Graph Convolutional Networks (GCNs) are a popular method from graph repr...
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05/10/2021
Combinatorial Multi-armed Bandits for Resource Allocation
We study the sequential resource allocation problem where a decision mak...
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12/16/2020
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
We study the problem of clustering nodes in a dynamic graph, where the c...
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10/05/2020
Towards Generalized and Distributed Privacy-Preserving Representation Learning
We study the problem of learning data representations that are private y...
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09/17/2020
Towards Behavior-Level Explanation for Deep Reinforcement Learning
While Deep Neural Networks (DNNs) are becoming the state-of-the-art for ...
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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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06/24/2020
Online Competitive Influence Maximization
Online influence maximization has attracted much attention as a way to m...
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06/12/2020
Towards Flexible Device Participation in Federated Learning for Non-IID Data
Traditional federated learning algorithms impose strict requirements on ...
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03/13/2020
Plasma Go: A Scalable Sidechain Protocol for Flexible Payment Mechanisms in Blockchain-based Marketplaces
The rapid proliferation of decentralized marketplace applications demand...
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03/12/2020
Machine Learning on Volatile Instances
Due to the massive size of the neural network models and training datase...
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11/21/2019
Observe Before Play: Multi-armed Bandit with Pre-observations
We consider the stochastic multi-armed bandit (MAB) problem in a setting...
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06/01/2019
Proportional Fair RAT Aggregation in HetNets
Heterogeneity in wireless network architectures (i.e., the coexistence o...
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04/13/2018
MOVI: A Model-Free Approach to Dynamic Fleet Management
Modern vehicle fleets, e.g., for ridesharing platforms and taxi companie...
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12/04/2017