Collaborative Learning

Collaborative learning focuses on improving machine learning model performance by leveraging data and computational resources from multiple sources, enhancing efficiency and privacy. Current research emphasizes developing algorithms that optimize communication and resource allocation among collaborating agents, including bilevel optimization and spectral estimators, while addressing challenges like negative transfer and data heterogeneity across diverse datasets. This approach is significant for improving model accuracy and generalization in various applications, from medical image segmentation to personalized recommendations, and is increasingly relevant in the context of data privacy regulations and resource-constrained environments.

Papers

May 5, 2022

Can collaborative learning be private, robust and scalable?
Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis
Differential Privacy Adversarial Training Adversarial Sample Collaborative Learning Adversarial Data Robust Adversarial

April 27, 2022

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang
Graph Convolutional Network Graph Convolution Hand Object Interaction Collaborative Learning Object Reconstruction Human Hand Partial Occlusion Hand Mesh

March 21, 2022

Collaborative Learning for Cyberattack Detection in Blockchain Networks
Tran Viet Khoa, Do Hai Son, Dinh Thai Hoang, Nguyen Linh Trung, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha, Eryk Dutkiewicz
Collaborative Learning Blockchain Network Threat Detection Attack Dataset Cyber Attack Detection

March 19, 2022

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
Collaborative Learning Debiasing Method Unbiased Learning Data Debiasing Debiased Recommendation Collaborative Adversarial

February 21, 2022

Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments
Mario Esparza
Training Data Collaborative Learning Speech to Text Speech Transcription Phoneme Recognition

January 31, 2022

Cooperative Online Learning in Stochastic and Adversarial MDPs
Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
Reinforcement Learning Stochastic Way Collaborative Learning Adversarial Markov Decision Process

January 29, 2022

Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability
Feng Li, Xuyang Yuan, Lina Wang, Huan Yang, Dongxiao Yu, Weifeng Lv, Xiuzhen Cheng
Complexity Matter Multi Stage Collaborative Learning Limited Memorization Armed Bandit Communication Graph

January 23, 2022

A Comprehensive Survey on Federated Learning: Concept and Applications
Dhurgham Hassan Mahlool, Mohammed Hamzah Abed
Financial Application Comprehensive Survey Collaborative Learning High Impact Concept Intelligent System Artificial Intelligence Method Assistance System

January 14, 2022

Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Geometric Analysis Breast Cancer Collaborative Learning Digital Image Isocitrate Dehydrogenase Mutation Diffuse Glioma Tumor Shape

December 7, 2021

Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura, Deniz Gunduz, H. Vincent Poor
Machine Learning Model Wireless Network Collaborative Learning Brief Introduction Scalable Algorithm Collaborative Training Time Varying Network

December 2, 2021

Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks
Tran Viet Khoa, Dinh Thai Hoang, Nguyen Linh Trung, Cong T. Nguyen, Tran Thi Thuy Quynh, Diep N. Nguyen, Nguyen Viet Ha, Eryk Dutkiewicz
Transfer Learning Collaborative Learning Internet of Thing Network Deep Transfer Learning Cyber Attack Detection

Collaborative Learning

Papers

Can collaborative learning be private, robust and scalable?

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

Collaborative Learning for Cyberattack Detection in Blockchain Networks

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations

Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments

Cooperative Online Learning in Stochastic and Adversarial MDPs

Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability

A Comprehensive Survey on Federated Learning: Concept and Applications

Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma

Collaborative Learning over Wireless Networks: An Introductory Overview

Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks