WS-6.2

Recommendation Algorithm Based on Federated Multi-modal Learning

Chenyuan Feng, Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, China; Zhenyu Feng, Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, China, China; Qing Wang, National Key Laboratory for Mobile Network and Mobile Multimedia Technology, ZTE Corporation, China, China
Session:
WS-6: Timely and Private Machine Learning over Networks Lecture
Track:
Satellite Workshops
Location:
Workshop Lectures
Presentation Time:
Fri, 19 Apr, 13:23 - 13:36 (UTC +9)
Presentation
Discussion
Resources
No resources available.
Session WS-6
WS-6.1: Convergence Analysis of Semi-Federated Learning with Non-IID Data
Wanli Ni, Tsinghua University, China; Jiachen Han, Beijing University of Posts and Telecommunications, China; Zhijin Qin, Tsinghua University, China
WS-6.2: Recommendation Algorithm Based on Federated Multi-modal Learning
Chenyuan Feng, Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, China; Zhenyu Feng, Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, Shenzhen University, China, China; Qing Wang, National Key Laboratory for Mobile Network and Mobile Multimedia Technology, ZTE Corporation, China, China
WS-6.3: A Compressed Decentralized Federated Learning Framework for Enhanced Environmental Awareness in V2V Networks
Luca Barbieri, Mattia Brambilla, Monica Nicoli, Politecnico di Milano, Italy
WS-6.4: OVER THE AIR FEDERATED LEARNING IN THE PRESENCE OF IMPULSIVE NOISE
Zubair Shaban, Ranjitha Prasad, Pooja Kumari, IIIT Delhi, India
WS-6.5: FedRF-Adapt: Robust and Communication-Efficient Federated Domain Adaptation via Random Features
Yuanjie Wang, Huazhong University of Science and Technology, China; Zhanbo Feng, Shanghai Jiao Tong University, China; Zhenyu Liao, Huazhong University of Science and Technology, China
WS-6.6: PerSOTA FL: A ROBUST-TO-NOISE PERSONALIZED OVER THE AIR FEDERATED LEARNING FOR HUMAN ACTIVITY RECOGNITION
Arash Rasti-Meymandi, Pai Chet Ng, University of Toronto, Canada; Huan Liu, Yuanhao Yu, Huawei Noah’s Ark Lab, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada
WS-6.7: Towards Collaborative Multi-modal Federated Learning for Human Activity Recognition in Smart Workplace Environments
Seyed Mohammad Sheikholeslami, Pai Chet Ng, University of Toronto, Canada; Huan Liu, Yuanhao Yu, Huawei Noah's Ark Lab, Canada, Canada; Konstantinos N. Plataniotis, University of Toronto, Canada
WS-6.8: VERSION AGE-BASED CLIENT SCHEDULING POLICY FOR FEDERATED LEARNING
Xinyi Hu, Zhejiang University, China; Nikolaos Pappas, Linköping University, Sweden; Howard H. Yang, Zhejiang University, China
WS-6.9: Byzantine-Resilient Hierarchical Federated Learning with Clustered Over-the-Air Aggregation
David Nordlund, Jialing Liao, Zheng Chen, Linköping University, Sweden
Contacts