research
∙
06/20/2023
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
The ensemble method is a promising way to mitigate the overestimation is...
share
research
∙
06/20/2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Warm-Start reinforcement learning (RL), aided by a prior policy obtained...
research
∙
02/09/2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
This work aims to tackle a major challenge in offline Inverse Reinforcem...
research
∙
02/02/2023
Algorithm Design for Online Meta-Learning with Task Boundary Detection
Online meta-learning has recently emerged as a marriage between batch me...
research
∙
01/16/2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Federated learning (FL) is a promising paradigm that enables collaborati...
research
∙
08/10/2022
Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services
As a virtual world interacting with the real world, Metaverse encapsulat...
research
∙
07/25/2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective
Federated learning (FL) is a promising distributed framework for collabo...
research
∙
04/23/2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Many real-world ubiquitous applications, such as parking recommendations...
research
∙
02/07/2022
Model-Based Offline Meta-Reinforcement Learning with Regularization
Existing offline reinforcement learning (RL) methods face a few major ch...
research
∙
12/15/2021
Communication-Efficient Distributed SGD with Compressed Sensing
We consider large scale distributed optimization over a set of edge devi...
research
∙
10/19/2021
Robust Event Classification Using Imperfect Real-world PMU Data
This paper studies robust event classification using imperfect real-worl...
research
∙
06/16/2021
Scenario Generation of Wind Farm Power for Real-Time System Operation
This work proposes a method of wind farm scenario generation to support ...
research
∙
02/17/2021
A Game-theoretic Approach Towards Collaborative Coded Computation Offloading
Coded distributed computing (CDC) has emerged as a promising approach be...
research
∙
02/16/2021
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach
We consider a many-to-one wireless architecture for federated learning a...
research
∙
01/22/2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
Learning generative models is challenging for a network edge node with l...
research
∙
01/21/2021
Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
To meet the ever increasing mobile traffic demand in 5G era, base statio...
research
∙
12/22/2020
Distributed Q-Learning with State Tracking for Multi-agent Networked Control
This paper studies distributed Q-learning for Linear Quadratic Regulator...
research
∙
12/16/2020
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
In order to meet the requirements for performance, safety, and latency i...
research
∙
12/15/2020
Accelerating Distributed Online Meta-Learning via Multi-Agent Collaboration under Limited Communication
Online meta-learning is emerging as an enabling technique for achieving ...
research
∙
12/14/2020
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
In-home health monitoring has attracted great attention for the ageing p...
research
∙
12/06/2020
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Recent advances in artificial intelligence have driven increasing intell...
research
∙
10/27/2020
System Identification via Meta-Learning in Linear Time-Varying Environments
System identification is a fundamental problem in reinforcement learning...
research
∙
03/31/2020
Privacy-aware Data Trading
The growing threat of personal data breach in data trading pinpoints an ...
research
∙
01/09/2020
A Collaborative Learning Framework via Federated Meta-Learning
Many IoT applications at the network edge demand intelligent decisions i...
research
∙
12/25/2019
Hopping-Proof and Fee-Free Pooled Mining in Blockchain
The pool-hopping attack casts down the expected profits of both the mini...
research
∙
11/02/2019
Preserving privacy enables "co-existence equilibrium" of competitive diffusion in social networks
With the advent of social media, different companies often promote compe...
research
∙
05/24/2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
With the breakthroughs in deep learning, the recent years have witnessed...
research
∙
03/07/2019
Impact of Social Learning on Privacy-Preserving Data Collection
We study a model where a data collector obtains data from users through ...
research
∙
09/01/2018
Content Popularity Prediction Towards Location-Aware Mobile Edge Caching
Mobile edge caching enables content delivery within the radio access net...
research
∙
03/20/2018
Mobile Social Services with Network Externality: From Separate Pricing to Bundled Pricing
Today, many wireless device providers choose to sell devices bundled wit...
research
∙
12/09/2017
Mobile Edge Caching: An Optimal Auction Approach
With the explosive growth of wireless data, the sheer size of the mobile...
research
∙
11/02/2017
