TMTSP-P4.8
AGGREGATED CONDITIONAL GRADIENT METHOD FOR DECENTRALIZED CONSTRAINED LEARNING FROM NON-IID DATA
Robin francis, Sundeep Prabhakar Chepuri, Indian Institute of Science, India
Session:
TMTSP-P4: Graphs, Networks and Distributed Processing Poster
Track:
TMTSP - Theoretical and Methodological Trends in Signal Processing
Location:
Balcony I West
Presentation Time:
Wed, 2 Sep, 16:00 - 17:40 Belgium Time (UTC +2)
Presentation
Discussion
Resources
No resources available.
Session TMTSP-P4
TMTSP-P4.1: COST-AWARE GRAPH AUGMENTATION FOR ROBUST NETWORKS VIA EFFECTIVE RESISTANCE
Omkar Bhoite, V Sateeshkrishna Dhuli, Stefan Werner, Kimmo Kansanen, Norwegian University of Science and Technology, Norway
TMTSP-P4.2: FEDERATED K-MEANS OVER NETWORKS
Xu Yang, Salvatore Rastelli, Alexander Jung, Aalto University, Finland
TMTSP-P4.3: VIETORIS-RIPS HYPERGRAPH SPECTRAL CLUSTERING
Ana Carolina Holzmeister Cunha, Alcebiades Dal Col, Fabiano Petronetto, Federal University of Espirito Santo, Brazil; José R. de Oliveira Neto, Juliano B. Lima, Federal University of Pernambuco, Brazil
TMTSP-P4.4: Learning Dirac Spectral Transforms for Topological Signals
Leonardo Di Nino, Tiziana Cattai, Sergio Barbarossa, Sapienza, Università di Roma, Italy; Ginestra Bianconi, Queen Mary University of London, UK, United Kingdom; Paolo Di Lorenzo, Sapienza, Università di Roma, Italy
TMTSP-P4.5: JOINT MAPPER AND TOPOLOGICAL SIGNAL PROCESSING FOR POINT CLOUD CLASSIFICATION
Alcebiades Dal Col, Federal University of Espirito Santo, Brazil; Stefania Sardellitti, Universitas Mercatorum, Italy; Juliano B. Lima, Federal University of Pernambuco, Brazil
TMTSP-P4.6: UNATE: UNsupervised ATomic Embedding for crystal structures property prediction
Laura Solà-Garcia, Àlex Solé, Javier Ruiz-Hidalgo, Universitat Politècnica de Catalunya, Spain
TMTSP-P4.7: DISTRIBUTED ONLINE LEARNING OF HIGHER-ORDER CELLULAR MODELS
Abdullah Canbolat, Rohan Money, Baltasar Beferull-Lozano, Simula Metropolitan Center for Digital Engineering, Norway
TMTSP-P4.8: AGGREGATED CONDITIONAL GRADIENT METHOD FOR DECENTRALIZED CONSTRAINED LEARNING FROM NON-IID DATA
Robin francis, Sundeep Prabhakar Chepuri, Indian Institute of Science, India
TMTSP-P4.9: DISTRIBUTED MULTITARGET TRACKING WITH NETWORKS OF PHD AND CPHD FILTERS
Jakub Kral, Kamil Dedecius, Czech Technical University in Prague, Czech Republic
TMTSP-P4.10: AN INVERSE PROBLEM RESOLUTION FOR 3D PARTICLE TRACKING USING EVENT-BASED VISION
Charlotte Vienney, Cheng Wang, Pierre Borgnat, Mickaël Bourgoin, Nelly Pustelnik, CNRS, ENS de Lyon, Laboratoire de Physique, France