On the Use of Wide Channels in WiFi Networks. - Saber Malekmohammadi; Catherine Rosenberg; Razvan Stanica (LCN, 2019)

Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds. - Mahdi Boloursaz Mashhadi; Saber Malekmohammadi; Farokh Marvasti (CoRR, 2019)

Non Parametric Graph Learning for Bayesian Graph Neural Networks. - Soumyasundar Pal; Saber Malekmohammadi; Florence Regol; Yingxue Zhang 001; Yishi Xu; Mark Coates (UAI, 2020)

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. - Amir Rasouli; Tiffany Yau; Peter Lakner; Saber Malekmohammadi; Mohsen Rohani; Jun Luo 009 (CoRR, 2020)

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. - Tiffany Yau; Saber Malekmohammadi; Amir Rasouli; Peter Lakner; Mohsen Rohani; Jun Luo 009 (ICRA, 2021)

Splitting Algorithms for Federated Learning. - Saber Malekmohammadi; Kiarash Shaloudegi; Zeou Hu; Yaoliang Yu (PKDD/ECML Workshops (1), 2021)

An Operator Splitting View of Federated Learning. - Saber Malekmohammadi; Kiarash Shaloudegi; Zeou Hu; Yaoliang Yu (CoRR, 2021)

Equality Is Not Equity: Proportional Fairness in Federated Learning. - Guojun Zhang; Saber Malekmohammadi; Xi Chen; Yaoliang Yu (CoRR, 2022)

Proportional Fairness in Federated Learning. - Guojun Zhang; Saber Malekmohammadi; Xi Chen; Yaoliang Yu (Trans. Mach. Learn. Res., 2023)

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. - Saber Malekmohammadi; Yaoliang Yu; Yang Cao 011 (ICML, 2024)

Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. - Saber Malekmohammadi; Afaf Taïk; Golnoosh Farnadi (CoRR, 2024)

Semi-Variance Reduction for Fair Federated Learning. - Saber Malekmohammadi (CoRR, 2024)

On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy. - Saber Malekmohammadi; Golnoosh Farnadi (CoRR, 2024)

Sharpness-Aware Parameter Selection for Machine Unlearning. - Saber Malekmohammadi; Hong-Kyu Lee; Li Xiong 001 (CoRR, 2025)