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ORCIDSaber Malekmohammadi
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Journal Articles
- 2023
[j1]Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu:
Proportional Fairness in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c5]Saber Malekmohammadi, Yaoliang Yu, Yang Cao:
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. ICML 2024 - 2021
- [c4]Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. ICRA 2021: 8580-8586 - [c3]Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu, Yaoliang Yu:
Splitting Algorithms for Federated Learning. PKDD/ECML Workshops (1) 2021: 159-176 - 2020
- [c2]Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates:
Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI 2020: 1318-1327 - 2019
- [c1]Saber Malekmohammadi, Catherine Rosenberg, Razvan Stanica:
On the Use of Wide Channels in WiFi Networks. LCN 2019: 266-269
Informal and Other Publications
- 2024
- [i10]Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi
:
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. CoRR abs/2405.19272 (2024) - [i9]Saber Malekmohammadi, Yaoliang Yu, Yang Cao:
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning. CoRR abs/2406.03519 (2024) - [i8]Saber Malekmohammadi:
Semi-Variance Reduction for Fair Federated Learning. CoRR abs/2406.16193 (2024) - [i7]Saber Malekmohammadi, Golnoosh Farnadi:
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy. CoRR abs/2409.17538 (2024) - 2022
- [i6]Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu:
Equality Is Not Equity: Proportional Fairness in Federated Learning. CoRR abs/2202.01666 (2022) - 2021
- [i5]Saber Malekmohammadi, Kiarash Shaloudegi, Zeou Hu, Yaoliang Yu:
An Operator Splitting View of Federated Learning. CoRR abs/2108.05974 (2021) - 2020
- [i4]Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates:
Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR abs/2006.13335 (2020) - [i3]Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo:
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. CoRR abs/2012.02148 (2020) - [i2]Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo:
PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. CoRR abs/2012.07773 (2020) - 2019
- [i1]Mahdi Boloursaz Mashhadi, Saber Malekmohammadi, Farokh Marvasti:
Sparsity Promoting Reconstruction of Delta Modulated Voice Samples by Sequential Adaptive Thresholds. CoRR abs/1902.03425 (2019)
Coauthor Index
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