Statistical Model Aggregation via Parameter Matching

Statistical Model Aggregation via Parameter Matching

1 November 2019

Mikhail Yurochkin

Kristjan Greenewald

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Papers citing "Statistical Model Aggregation via Parameter Matching"

16 / 16 papers shown

Title
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng Minh Hoang Lam M. Nguyen My T. Thai Tsui-Wei Weng T. Hoang FedML 153 3 0 27 Feb 2025
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 91 2 0 05 Dec 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 98 5 0 05 Jul 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma T. Hoang Jie Chen FedML 33 4 0 02 Jun 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 193 52 0 04 May 2023
Model-Agnostic Federated Learning Gianluca Mittone Walter Riviera Iacopo Colonnelli Robert Birke Marco Aldinucci FedML 51 7 0 08 Mar 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 118 89 0 03 Jan 2023
Bayesian Federated Neural Matching that Completes Full Information Peng Xiao Samuel Cheng FedML 84 2 0 15 Nov 2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks Biao Zhang Shuqin Zhang FedML MoMe 34 0 0 24 Oct 2022
Federated Learning with Position-Aware Neurons Xin-Chun Li Yi-Chu Xu Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao De-Chuan Zhan FedML 98 34 0 28 Mar 2022
An Expectation-Maximization Perspective on Federated Learning Christos Louizos M. Reisser Joseph B. Soriaga Max Welling FedML 83 12 0 19 Nov 2021
Towards Bidirectional Protection in Federated Learning Lun Wang Qi Pang Shuai Wang Basel Alomair FedML 81 3 0 02 Oct 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 227 164 0 22 Jul 2020
Model Fusion with Kullback--Leibler Divergence Sebastian Claici Mikhail Yurochkin S. Ghosh Justin Solomon FedML MoMe 63 34 0 13 Jul 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 130 1,133 0 15 Feb 2020
Scalable inference of topic evolution via models for latent geometric structures Mikhail Yurochkin Zhiwei Fan Aritra Guha Paraschos Koutris X. Nguyen 53 11 0 24 Sep 2018