TH3.SC3.2
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
Okko Makkonen, Sampo Niemela, Camilla Hollanti, Aalto University, Finland; Serge Kas Hanna, Cote d'Azur University - CNRS, France
Session:
TH3.SC3: Distributed or Federated Learning over Networks Lecture
Track:
Special Sessions
Location:
Saint Clair 3
Presentation Time:
Thu, 29 Aug, 16:30 - 16:50 France Time (UTC +1)
Session Chair:
Vincenzo Matta, University of Salerno
Presentation
Discussion
Resources
No resources available.
Session TH3.SC3
TH3.SC3.1: Cooperative Classification over Distributed Networks
Xiling Yao, Jie Chen, Jingdong Chen, Northwestern Polytechnical University, China; Shefeng Yan, Institute of Acoustics, Chinese Academy of Science, China; Fei Ji, South China University of Technology, China; Hongwei Liu, Xidian University, China
TH3.SC3.2: Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
Okko Makkonen, Sampo Niemela, Camilla Hollanti, Aalto University, Finland; Serge Kas Hanna, Cote d'Azur University - CNRS, France
TH3.SC3.3: STRATEGIC FEDERATED LEARNING: APPLICATION TO SMART METER DATA CLUSTERING
Hassan MOHAMAD, Université de Lorraine-Centre de Recherche en Automatique de Nancy, France; Chao Zhang, Khalifa University / Central South University, United Arab Emirates; Samson Lasaulce, Khalifa University / Université de Lorraine, United Arab Emirates; Vineeth Satheeskumar Varma, Université de Lorraine-Centre de Recherche en Automatique de Nancy, France; Merouane Debbah, Khalifa University, United Arab Emirates; Mounir Ghogho, Université Internationale de Rabat, Morocco
TH3.SC3.4: Multimodal Learning for Integrated Sensing and Communication Networks
Xiaonan Liu, Tharmalingam Ratnarajah, University of Edinburgh, United Kingdom; Mathini Sellathurai, Heriot-Watt University, United Kingdom; Yonina C. Eldar, Weizmann Institute of Science, Israel