Title
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary B. Charles Nicole Mitchell Krishna Pillutla Michael Reneer Zachary Garrett FedML AI4CE 8 28 0 18 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 19 12 0 11 Jul 2023
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling Faris Almalik Naif Alkhunaizi Ibrahim Almakky Karthik Nandakumar FedML MedIm 17 9 0 26 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 27 4 0 20 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 16 48 0 15 Jun 2023
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning Tanguy Marchand Regis Loeb Ulysse Marteau-Ferey Jean Ogier du Terrail Arthur Pignet FedML 29 4 0 13 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang Lingjuan Lyu 11 8 0 09 Jun 2023
Collaborative Learning via Prediction Consensus Dongyang Fan Celestine Mendler-Dünner Martin Jaggi FedML 6 7 0 29 May 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 10 21 0 27 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Penghui Wei Hongjian Dou Shaoguo Liu Rong Tang Li Liu Liangji Wang Bo Zheng FedML 16 12 0 15 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 43 14 0 10 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation M. Xhemrishi Johan Ostman A. Wachter-Zeh Alexandre Graell i Amat FedML 14 6 0 09 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 21 5 0 01 May 2023
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging Erum Mushtaq Yavuz Faruk Bakman Jie Ding A. Avestimehr FedML 6 8 0 18 Apr 2023
Balancing Privacy and Performance for Private Federated Learning Algorithms Xiangjiang Hou Sarit Khirirat Mohammad Yaqub Samuel Horváth FedML 17 0 0 11 Apr 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 10 7 0 08 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 63 47 0 21 Feb 2023
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting Enyi Jiang Yibo Zhang Oluwasanmi Koyejo FedML 17 4 0 10 Feb 2023
Federated Survival Forests Alberto Archetti Matteo Matteucci FedML 6 8 0 06 Feb 2023
Heterogeneous Datasets for Federated Survival Analysis Simulation Alberto Archetti Eugenio Lomurno Francesco Lattari André Martin Matteo Matteucci FedML 8 8 0 28 Jan 2023
FedAudio: A Federated Learning Benchmark for Audio Tasks Tuo Zhang Tiantian Feng Samiul Alam Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 15 23 0 27 Oct 2022
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 44 71 0 29 Sep 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 136 268 0 25 Sep 2021
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 43 85 0 23 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 154 553 0 27 Jul 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 164 1,690 0 18 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 126 357 0 09 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020