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Critical Learning Periods in Federated Learning

Critical Learning Periods in Federated Learning

12 September 2021

ArXiv (abs)PDF HTML Github

Papers citing "Critical Learning Periods in Federated Learning"

6 / 6 papers shown

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients

Eugene Belilovsky

164

0

0

03 Sep 2025

Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition

Adaptive Unimodal Regulation for Balanced Multimodal Information AcquisitionComputer Vision and Pattern Recognition (CVPR), 2025

Chengxiang Huang

323

13

0

24 Mar 2025

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging

Weight Scope Alignment: A Frustratingly Easy Method for Model MergingEuropean Conference on Artificial Intelligence (ECAI), 2024

369

3

0

22 Aug 2024

Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated
Learning

Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning

Eugene Belilovsky

270

15

0

11 Apr 2023

Revisiting Weighted Aggregation in Federated Learning with Neural
Networks

Revisiting Weighted Aggregation in Federated Learning with Neural NetworksInternational Conference on Machine Learning (ICML), 2023

427

114

0

14 Feb 2023

VeriFi: Towards Verifiable Federated Unlearning

VeriFi: Towards Verifiable Federated UnlearningIEEE Transactions on Dependable and Secure Computing (TDSC), 2022

357

78

0

25 May 2022

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