Peyman Gholami
I am a fourth-year PhD student in electrical and computer engineering at the University of Illinois Chicago, supervised by Prof. Hulya Seferoglu. I hold a Bachelorโs from IUST and a Masterโs from Sharif University of Technology.
Iโm interested in machine learning, optimization, and their intersections with decentralized systems and networking.
news
| Mar 04, 2025 | I presented our paper โ๐๐ข๐๐๐๐ซ๐๐ง๐ญ๐ข๐๐ญ๐๐ ๐๐ ๐ ๐ซ๐๐ ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ ๐๐๐ง๐๐ซ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง ๐ข๐ง ๐ ๐๐๐๐ซ๐๐ญ๐๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ,โ at the AAAI 25 conference. |
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| Feb 06, 2025 | I presented recent works in our lab, Networking Research Lab, at the RINGS PI meeting 3 scheduled from February 4 โ 6th at Qualcomm, San Diego, CA. |
| Jan 27, 2025 | Our work on โDifferentiated Aggregation to Improve Generalization in Federated Learning,โ is accepted by AAAI Federated Learning for Unbounded and Intelligent Decentralization (FLUID) 2025. |
| Jan 20, 2025 | Our work on โDifferentiated Aggregation to Improve Generalization in Federated Learning,โ is accepted by AAAI Scalable and Efficient Artificial Intelligence Systems (SEAS) 2025. |
| Jun 19, 2024 | I presented our work, titled Digest: Fast and Communication-Efficient Decentralized Learning with Local Updates, at the Artificial Intelligence Modeling, Analysis, and Control of Complex Systems event held at The Ohio State University in Columbus, OH. |
| Jun 18, 2024 | Our work on โCommunication Efficient Federated Learning with Differentiated Aggregationโ is accepted by WANT@ICML 2024. |
| Jan 06, 2024 | Our work on โDIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates,โ is accepted by IEEE Transactions on Machine Learning in Communications and Networking. |
| Jul 19, 2023 | I presented our work, Digest: Fast and Communication-Efficient Decentralized Learning with Local Updates, at the Federated Learning and Analytics in Practice Workshop during ICML 2023, held in July 2023 at the Hawaii Convention Center in Honolulu, HI. |
| Jun 19, 2023 | Our work on โFast and Communication Efficient Decentralized Learning with Local Updates,โ is accepted by FL-ICML 2023. |
selected publications
- IEEEDIGEST: Fast and Communication Efficient Decentralized Learning with Local UpdatesIEEE Transactions on Machine Learning in Communications and Networking, 2024
- arXivImproved Generalization Bounds for Communication Efficient Federated Learning2024
- ICML 2023 WorkshopFast and Communication Efficient Decentralized Learning with Local UpdatesIn Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities, 2023
- WANT@ICML 2024Communication Efficient Federated Learning with Differentiated AggregationIn 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024), 2024
