{"total":14,"rows":[{"id":"2410.04332","title":"Gradient Routing: Masking Gradients to Localize Computation in Neural Networks","created":"2024-10-06","cited_by_count":34,"area":null},{"id":"2209.15328","title":"Sparse Random Networks for Communication-Efficient Federated Learning","created":"2022-09-30","cited_by_count":32,"area":null},{"id":"2206.00395","title":"Optimization with Access to Auxiliary Information","created":"2022-06-01","cited_by_count":13,"area":null},{"id":"2406.00431","title":"SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead","created":"2024-06-01","cited_by_count":9,"area":null},{"id":"2306.12625","title":"Adaptive Compression in Federated Learning via Side Information","created":"2023-06-22","cited_by_count":6,"area":null},{"id":"2306.16484","title":"Towards a Better Theoretical Understanding of Independent Subnetwork Training","created":"2023-06-28","cited_by_count":6,"area":null},{"id":"2502.04850","title":"Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks","created":"2025-02-07","cited_by_count":6,"area":null},{"id":"2406.09152","title":"EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2311.10002","title":"Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2311.17299","title":"Federated Fine-Tuning of Foundation Models via Probabilistic Masking","created":"2023-11-29","cited_by_count":2,"area":null},{"id":"2512.13853","title":"Dropout Neural Network Training Viewed from a Percolation Perspective","created":"2025-12-15","cited_by_count":2,"area":null},{"id":"2310.17890","title":"Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning","created":"2023-10-27","cited_by_count":1,"area":null},{"id":"2511.06132","title":"On the Convergence and Stability of Distributed Sub-model Training","created":"2025-11-08","cited_by_count":1,"area":null},{"id":"2412.19987","title":"Delayed Random Partial Gradient Averaging for Federated Learning","created":"2024-12-28","cited_by_count":0,"area":null}],"next_cursor":null}