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04/24/2023
Universal Domain Adaptation via Compressive Attention Matching
Universal domain adaptation (UniDA) aims to transfer knowledge from the ...
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10/13/2022
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Model-based offline reinforcement learning (RL) aims to find highly rewa...
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09/01/2022
Online Data Selection for Federated Learning with Limited Storage
Machine learning models have been deployed in mobile networks to deal wi...
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08/05/2022
DP^2-VAE: Differentially Private Pre-trained Variational Autoencoders
Modern machine learning systems achieve great success when trained on la...
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06/20/2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Collaborative multi-agent reinforcement learning (MARL) has been widely ...
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06/17/2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting
Keyword spotting (KWS) aims to discriminate a specific wake-up word from...
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06/16/2022
Personalized Federated Learning via Variational Bayesian Inference
Federated learning faces huge challenges from model overfitting due to t...
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03/28/2022
Federated Learning with Position-Aware Neurons
Federated Learning (FL) fuses collaborative models from local nodes with...
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03/25/2022
Sparse Federated Learning with Hierarchical Personalization Models
Federated learning (FL) is widely used in the Internet of Things (IoT), ...
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03/23/2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching
In federated learning (FL), clients may have diverse objectives, merging...
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12/02/2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Federated learning (FL) has recently emerged as a transformative paradig...
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11/21/2021
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning
Secure linear aggregation is to linearly aggregate private inputs of dif...
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11/09/2021
Unified Group Fairness on Federated Learning
Federated learning (FL) has emerged as an important machine learning par...
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07/26/2021
Preliminary Steps Towards Federated Sentiment Classification
Automatically mining sentiment tendency contained in natural language is...
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07/26/2021
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes
Although federated learning (FL) has recently been proposed for efficien...
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07/21/2021
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring
In recent years, researchers have been paying increasing attention to th...
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04/30/2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Federated learning (FL) has recently emerged as an important and promisi...
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04/27/2021
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
Deep learning has achieved impressive performance on many tasks in recen...
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09/28/2020