Seyyedali Hosseinalipour
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | INFOCOM | Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis. | Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2025 | AAAI | Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. | Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2025 | EDM | Privacy-Preserving Distributed Link Predictions Among Peers in Online Classrooms Using Federated Learning. | Anurata Prabha Hridi, Muntasir Hoq, Zhikai Gao, Collin Lynch, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram |
| 2025 | ICLR | Unlocking the Potential of Model Calibration in Federated Learning. | Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton |
| 2025 | ICLR | Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. | Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2023 | MOBIHOC | Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. | Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton |
| 2022 | AISTATS | Can we Generalize and Distribute Private Representation Learning? | Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton |
| 2022 | CIKM | Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. | Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton |
| 2022 | GLOBECOM | Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. | Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton |
| 2022 | ICLR | Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? | Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton |
| 2021 | GLOBECOM | Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. | Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicol Michelusi |
| 2021 | INFOCOM | Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. | Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton |
| 2020 | GLOBECOM | Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. | Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Ismail Gven, Huaiyu Dai, Arupjyoti Bhuyan |
| 2020 | INFOCOM | Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. | Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang |
| 2019 | GLOBECOM | Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation. | Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Gven, Huaiyu Dai, Arupjyoti Bhuyan |
| 2019 | INFOCOM | Smart Information Spreading for Opinion Maximization in Social Networks. | Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai |
| 2017 | GLOBECOM | Real-Time Strategy Selection for Mobile Advertising in VANETs. | Seyyedali Hosseinalipour, Anuj K. Nayak, Huaiyu Dai |
| 2017 | GLOBECOM | Detection of Infections Using Graph Signal Processing in Heterogeneous Networks. | Seyyedali Hosseinalipour, Jie Wang, Huaiyu Dai, Wenye Wang |
| 2017 | GLOBECOM | Dynamic Advertising in VANETs Using Repeated Auctions. | Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai |