Learning to Multi-Task by Active Sampling. - Sahil Sharma 003; Ashutosh Kumar Jha; Parikshit Hegde; Balaraman Ravindran (ICLR (Poster), 2018)

Speed scaling under QoS constraints with finite buffer. - Parikshit Hegde; Akshit Kumar; Rahul Vaze (WiOpt, 2018)

Conditions for Optimality of Superposition Coding in Discrete Memoryless Broadcast Channels. - Harikumar Krishnamurthy; Parikshit Hegde; Andrew Thangaraj (NCC, 2019)

Breaking the Unit Throughput Barrier in Distributed Systems. - Akshit Kumar; Parikshit Hegde; Rahul Vaze; Amira Alloum; Cédric Adjih (CoRR, 2020)

A survey on 5G Network Slicing-Epitome and opportunities for a novice. - Parikshit Hegde; S. M. Meena (ICCCNT, 2021)

Achieving Almost All Blockchain Functionalities with Polylogarithmic Storage. - Parikshit Hegde; Robert Streit; Yanni Georghiades; Chaya Ganesh; Sriram Vishwanath (Financial Cryptography, 2022)

Performance and efficiency tradeoffs in blockchain overlay networks. - Parikshit Hegde; Gustavo de Veciana (MobiHoc, 2022)

Network Adaptive Federated Learning: Congestion and Lossy Compression. - Parikshit Hegde; Gustavo de Veciana; Aryan Mokhtari (INFOCOM, 2023)

Breaking the Unit Throughput Barrier in Random Access Protocol Based Distributed Systems. - Akshit Kumar; Parikshit Hegde; Rahul Vaze; Amira Alloum; Cédric Adjih (NCC, 2023)

Optimal Aggregation via Overlay Trees: Delay-MSE Tradeoffs under Failures. - Parikshit Hegde; Gustavo de Veciana (Proc. ACM Meas. Anal. Comput. Syst., 2024)