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ORCIDParikshit Hegde
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2020 – today
- 2023
[c8]Parikshit Hegde, Gustavo de Veciana, Aryan Mokhtari:
Network Adaptive Federated Learning: Congestion and Lossy Compression. INFOCOM 2023: 1-10- [c7]Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cédric Adjih:
Breaking the Unit Throughput Barrier in Random Access Protocol Based Distributed Systems. NCC 2023: 1-6 - [i3]Parikshit Hegde, Gustavo de Veciana, Aryan Mokhtari:
Network Adaptive Federated Learning: Congestion and Lossy Compression. CoRR abs/2301.04430 (2023) - 2022
- [c6]Parikshit Hegde, Robert Streit, Yanni Georghiades, Chaya Ganesh, Sriram Vishwanath:
Achieving Almost All Blockchain Functionalities with Polylogarithmic Storage. Financial Cryptography 2022: 642-660 - [c5]Parikshit Hegde, Gustavo de Veciana:
Performance and efficiency tradeoffs in blockchain overlay networks. MobiHoc 2022: 221-230 - [i2]Parikshit Hegde, Robert Streit, Yanni Georghiades, Chaya Ganesh, Sriram Vishwanath:
Achieving Almost All Blockchain Functionalities with Polylogarithmic Storage. CoRR abs/2207.05869 (2022) - 2021
- [c4]Parikshit Hegde, S. M. Meena:
A survey on 5G Network Slicing-Epitome and opportunities for a novice. ICCCNT 2021: 1-5 - 2020
- [i1]Akshit Kumar, Parikshit Hegde, Rahul Vaze, Amira Alloum, Cédric Adjih:
Breaking the Unit Throughput Barrier in Distributed Systems. CoRR abs/2010.07430 (2020)
2010 – 2019
- 2019
- [c3]Harikumar Krishnamurthy, Parikshit Hegde, Andrew Thangaraj:
Conditions for Optimality of Superposition Coding in Discrete Memoryless Broadcast Channels. NCC 2019: 1-5 - 2018
- [c2]Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran:
Learning to Multi-Task by Active Sampling. ICLR (Poster) 2018 - [c1]Parikshit Hegde, Akshit Kumar, Rahul Vaze:
Speed scaling under QoS constraints with finite buffer. WiOpt 2018: 1-8
Coauthor Index
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