Latest Publications
- Prabhleen Kukreja and V. Mahendran, “PraaKrum: A Practical Byzantine-Resilient Federated Learning Algorithm”, Accepted in COMSNETS ’24: 16th IEEE International Conference on Communication Systems and Networks, India, January 2024.
- Vamshi Vijay Krishna Jeripotula, V. Mahendran, B. Venkataramana, “Optimal D2D Learning-Based Neighbor Selection in mmWave Networks using Gittins Indices”, WiMob STWiMob ’23: IEEE WiMob Workshop on Selected Topics in Wireless and Mobile Computing, Montreal, Canada, June 2023.
- Naresh Babu Kakarla, V. Mahendran, “How to Learn on the Fly? On Improving the Uplink Throughput Performance of UAV-Assisted Sensor Networks”, MobiSys DroNet ’23: ACM MobiSys Workshop on Micro Aerial Vehicles Networks, Systems, and Applications, Helsinki, Finland, June 2023.
- Prabhleen Kukreja, V. Mahendran, “Contention Matters: Modeling and Analyzing the Performance of Federated Learning over WiFi”, PIMRC ’23: IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Toronto, Canada, September 2023.
- Tharakeswararaju Buchipalli, V. Mahendran, B. Venkataramana,“How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs”, Accepted in MSWiM ’23: ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, Canada, October 2023.
- Naresh Babu Kakarla and V. Mahendran, “Lyapunov Meets Thompson: Learning-Based Energy-Efficient UAV Communication with Queuing Stability Constraints”, IEEE INFOCOM DRONECOM Workshop on Drone-Assisted Wireless Communications for 5G and Beyond, New York, USA, May, 2023.
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