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Highly contributed researchers
Since 2016: Kenta Niwa (3)
Yuichi Tanaka (2)
Statistics
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph
Authors: Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn
Communication Compression for Decentralized Learning With Operator Splitting Methods
Authors: Yuki Takezawa, Kenta Niwa, Makoto Yamada
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality
Authors: Kei Komuro, Masahiro Yukawa, Renato Lus Garrido Cavalcante
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Authors: Akihito Taya, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks
Authors: Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
State-Space Network Topology Identification From Partial Observations
Authors: Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus
Efficient Approximation and Denoising of Graph Signals Using the Multiscale Basis Dictionaries
Authors: Jeff Irion and Naoki Saito
Multireceiver Predicate Encryption for Online Social Networks
Authors: Chun-I Fan, Yi-Fan Tseng, Jheng-Jia Huang, Shih-Fen Chen, Hiroaki Kikuchi
Spectral Graph Wavelets and Filter Banks With Low Approximation Error
Authors: Akie Sakiyama, Kana Watanabe, Yuichi Tanaka
Graph Signal Denoising via Trilateral Filter on Graph Spectral Domain
Authors: Masaki Onuki, Shunsuke Ono, Masao Yamagishi, Yuichi Tanaka