🚀 HPC-AI is heading to #CVPR2026! Find us at Booth 237 from June 3–7! Whether you're building AI Agents or hunting for top-tier compute, we’ve got you covered.
🎁 The Ultimate CVPR Swag & Perks:
1️⃣ Limited Swag: Grab custom caps, canvas bags 🧢 🛍️
2️⃣ Top-up Reward: 💰$15 = GPU Hour + Model APIs + Summer mini-fans / Bluetooth speaker (Only 20 set)🔥
3️⃣ Accepted Author Special: Top up $40 Get $20 voucher 💰
4️⃣ Survey Gift: Just do a quick survey, choose your refrigerator magnets 🧲
Stop by, talk tech, and claim your rewards! 🤝
📍 Booth 237 | June 3–7 | Colorado Convention Center
#CVPR2026 #HPCAI #AI #MachineLearning #GPU #ModelAPIs
A special moment at the NAIRR Annual Meeting 2026. In one photo: my PhD advisor @Hadi__Amini who guided my research journey, myself, and my PhD student representing the next generation. Academia truly is a chain of mentorship and knowledge passing from one generation to the next.
New Research: New Research: FedPARL: Client Activity and Resource-Oriented Lightweight Federated Learning Model for Resource-Constrained Heterogeneous IoT Environment https://t.co/Y7w5IZ26ak
Congratulations to @solid__lab's Ph.D. Candidate Ahmed Imteaj @A_Imteaj, & director, Prof. @Hadi__Amini for publication of their work entitled "Leveraging Asynchronous Federated Learning to Predict Customers Financial Distress" in Journal of Intelligent Systems with Applications!
1/2 Congratulations to @FIUSCIS@solid__lab's PhD Candidate, Ahmed Imteaj, solid lab's director, Prof. @Hadi__Amini, and the collaborators from Texas A&M University at Galveston (Prof. Irfan Khan) and Lehigh University (Prof. Javad Khazaei) for acceptance of their journal paper//
Congratulations to @solid__lab's members, and collaborators from Samba Nova Systems, IBM TJ Watson, and Binghamton University for acceptance of the paper entitled "A Survey on #FederatedLearning for Resource-Constrained #IoT Devices" at IEEE IoT Journal!
https://t.co/MT1jcGPSUa
Congrats to @FIUSCIS@solid__lab's members for publishing the work on federated learning for resource-constrained environments in the Data Science for Communications section of Frontiers in Communications and Networks Journal
https://t.co/2GsIftP08Z
@A_Imteaj@Hadi__Amini
Going to present our accepted work on Lightweight Federated Learning Framework for Resource-constrained IoT Environment in FIU Graduate Student Appreciation Week (GSAW 2021) poster session. Please join us on April 7, 2021 from 9:30 AM - 17:30 PM. @Hadi__Amini@solid__lab
Congrats to @solid__lab members for the recent paper, entitled "FedAR: Activity and Resource-Aware Federated Learning Model for #Distributed Mobile #Robots", which is accepted & presented at the 19th IEEE International Conference on #MachineLearning and Applications (ICMLA 2020)!
Congratulations to @solid__lab's director, Prof. @Hadi__Amini for receiving the @FIUSCIS Excellence in Teaching Award! Thanks to the FIU Students, Faculty, and Staff for their support!
Thrilled to share that I’m going to present my work at the BuildSys/SenSys 2020 Joint PhD Forum. I will discuss how #federatedlearning can be effectively applied in a resource-constrained #IoT environment. Schedule link:
https://t.co/I2AcjPsUEC @solid__lab