Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
Authors: Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang | Published: 2022-11-08 | Updated: 2023-11-18
Optimization Methods
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Authors: Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat | Published: 2022-11-08 | Updated: 2023-08-10
Revisiting Hyperparameter Tuning with Differential Privacy
Authors: Youlong Ding, Xueyang Wu | Published: 2022-11-03 | Updated: 2023-01-31
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices
Authors: Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani | Published: 2022-10-31
Review on Classification Techniques used in Biophysiological Stress Monitoring
Authors: Talha Iqbal, Adnan Elahi, Atif Shahzad, William Wijns | Published: 2022-10-28
Isometric 3D Adversarial Examples in the Physical World
Authors: Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao | Published: 2022-10-27
The Inconvenient Truths of Ground Truth for Binary Analysis
Authors: Jim Alves-Foss, Varsah Venugopal | Published: 2022-10-26
A Black-Box Attack on Optical Character Recognition Systems
Authors: Samet Bayram, Kenneth Barner | Published: 2022-08-30
Node Copying: A Random Graph Model for Effective Graph Sampling
Authors: Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates | Published: 2022-08-04
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Authors: Behrooz Razeghi, Flavio P. Calmon, Deniz Gunduz, Slava Voloshynovskiy | Published: 2022-07-11