Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters

30 December 2019

Papers citing "Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters"

18 / 18 papers shown

Title
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study Natalija Mitic Apostolos Pyrgelis Sinem Sav FedML 58 1 0 25 Feb 2024
FedPop: Federated Population-based Hyperparameter Tuning Haokun Chen Denis Krompass Jindong Gu Volker Tresp FedML 38 0 0 16 Aug 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks Zexi Li Tao R. Lin Xinyi Shang Chao-Xiang Wu FedML 45 60 0 14 Feb 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
On Noisy Evaluation in Federated Hyperparameter Tuning Kevin Kuo Pratiksha Thaker M. Khodak John Nguyen Daniel Jiang Ameet Talwalkar Virginia Smith FedML 37 8 0 17 Dec 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective Huan Zhang Lei Fu Mi Zhang Pengfei Hu Xiuzhen Cheng P. Mohapatra Xin Liu FedML 21 7 0 24 Nov 2022
Federated Hypergradient Descent A. K. Kan FedML 37 3 0 03 Nov 2022
FEATHERS: Federated Architecture and Hyperparameter Search Jonas Seng P. Prasad Martin Mundt Devendra Singh Dhami Kristian Kersting FedML 55 3 0 24 Jun 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang Weirui Kuang Ce Zhang Bolin Ding Yaliang Li FedML 31 13 0 08 Jun 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang Choong Seon Hong FedML 31 10 0 04 Apr 2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu ... F. Patella Elvira Stellato G. Carrafiello Vishal M. Patel H. Roth OOD FedML 28 32 0 12 Mar 2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig FedML 26 6 0 16 Feb 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning Yi Zhou Parikshit Ram Theodoros Salonidis Nathalie Baracaldo Horst Samulowitz Heiko Ludwig AI4CE 37 25 0 15 Dec 2021
Fed2: Feature-Aligned Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 28 74 0 28 Nov 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing M. Khodak Renbo Tu Tian Li Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar FedML 43 78 0 08 Jun 2021
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 33 26 0 18 Sep 2020
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 34 22 0 15 Aug 2020
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 133 409 0 06 Mar 2017