{"total":42,"rows":[{"id":"2209.10526","title":"Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces","created":"2022-09-21","cited_by_count":36,"area":null},{"id":"2102.07148","title":"A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization","created":"2021-02-14","cited_by_count":27,"area":null},{"id":"2104.12446","title":"Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty","created":"2021-04-26","cited_by_count":19,"area":null},{"id":"2204.06477","title":"Data-heterogeneity-aware Mixing for Decentralized Learning","created":"2022-04-13","cited_by_count":12,"area":null},{"id":"2106.13517","title":"Temporal Graph Signal Decomposition","created":"2021-06-25","cited_by_count":8,"area":null},{"id":"2105.12769","title":"Clustered Federated Learning via Generalized Total Variation Minimization","created":"2021-05-26","cited_by_count":7,"area":null},{"id":"2302.00878","title":"The Contextual Lasso: Sparse Linear Models via Deep Neural Networks","created":"2023-02-02","cited_by_count":6,"area":null},{"id":"2210.08251","title":"Improving Your Graph Neural Networks: A High-Frequency Booster","created":"2022-10-15","cited_by_count":4,"area":null},{"id":"2211.04218","title":"Clustered Federated Learning based on Nonconvex Pairwise Fusion","created":"2022-11-08","cited_by_count":4,"area":null},{"id":"2105.08348","title":"On Convex Clustering Solutions","created":"2021-05-18","cited_by_count":3,"area":null},{"id":"2304.13342","title":"Multi-Task Learning Regression via Convex Clustering","created":"2023-04-26","cited_by_count":3,"area":null},{"id":"2102.07077","title":"Model-Agnostic Graph Regularization for Few-Shot Learning","created":"2021-02-14","cited_by_count":2,"area":null},{"id":"2201.08326","title":"Learning with latent group sparsity via heat flow dynamics on networks","created":"2022-01-20","cited_by_count":2,"area":null},{"id":"2209.08737","title":"Heterogeneous Federated Learning on a Graph","created":"2022-09-19","cited_by_count":2,"area":null},{"id":"2304.03638","title":"Compressed Regression over Adaptive Networks","created":"2023-04-07","cited_by_count":2,"area":null},{"id":"2306.04766","title":"Enabling tabular deep learning when $d \\gg n$ with an auxiliary knowledge graph","created":"2023-06-07","cited_by_count":2,"area":null},{"id":"2110.05018","title":"Time-varying Graph Learning Under Structured Temporal Priors","created":"2021-10-11","cited_by_count":1,"area":null},{"id":"2110.09040","title":"A Bayesian approach to multi-task learning with network lasso","created":"2021-10-18","cited_by_count":1,"area":null},{"id":"2206.10019","title":"flow-based clustering and spectral clustering: a comparison","created":"2022-06-20","cited_by_count":1,"area":null},{"id":"2208.14883","title":"Binary Representation via Jointly Personalized Sparse Hashing","created":"2022-08-31","cited_by_count":1,"area":null},{"id":"2403.06298","title":"Analysis of Total Variation Minimization for Clustered Federated Learning","created":"2024-03-10","cited_by_count":1,"area":null},{"id":"2412.17082","title":"MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2509.14488","title":"Decentralized Optimization with Topology-Independent Communication","created":"2025-09-17","cited_by_count":1,"area":null},{"id":"2510.09718","title":"Federated k-Means over Networks","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2102.01238","title":"Time Adaptive Gaussian Model","created":"2021-02-02","cited_by_count":0,"area":null},{"id":"2107.00472","title":"Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets","created":"2021-06-29","cited_by_count":0,"area":null},{"id":"2202.05775","title":"Inference of Multiscale Gaussian Graphical Model","created":"2022-02-11","cited_by_count":0,"area":null},{"id":"2306.09548","title":"Online Heavy-tailed Change-point detection","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2402.01302","title":"A Unified Framework for Center-based Clustering of Distributed Data","created":"2024-02-02","cited_by_count":0,"area":null},{"id":"2402.18167","title":"Decentralised Traffic Incident Detection via Network Lasso","created":"2024-02-28","cited_by_count":0,"area":null},{"id":"2404.03250","title":"Multi-task learning via robust regularized clustering with non-convex group penalties","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2409.02064","title":"Your Data, My Model: Learning Who Really Helps in Federated Learning","created":"2024-09-03","cited_by_count":0,"area":null},{"id":"2503.24012","title":"Tree-Guided $L_1$-Convex Clustering","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2507.15097","title":"Learning under Latent Group Sparsity via Diffusion on Networks","created":"2025-07-20","cited_by_count":0,"area":null},{"id":"2508.12560","title":"Data-driven Trust Bootstrapping for Mobile Edge Computing-based Industrial IoT Services","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2509.09413","title":"Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2509.17728","title":"A non-smooth regularization framework for learning over multitask graphs","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2602.05489","title":"Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2605.19313","title":"A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2608.26989","title":"Decentralized Multitask Learning over Learned Task Graphs","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.27280","title":"Multitask Regression with Pairwise Fusion","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.20075","title":"A Large-Dimensional Analysis of Least-Squares Federated Learning via Generalized Total Variation Minimization","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}