9 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 9 cited
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment
Ishan Prakash, Aniruddh Bansal, Rohit Verma +1
Artificial Intelligence has now taken centre stage in the smartphone industry owing to the need of bringing all processing close to the user and addressing privacy concerns. Convol…
cs.LG2021★ 8 cited
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
Manupriya Gupta, Pavas Goyal, Rohit Verma +2
Federated Learning deviates from the norm of "send data to model" to "send model to data". When used in an edge ecosystem, numerous heterogeneous edge devices collecting data throu…
cs.LG2021★ 2 cited
Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices
Tanmay Jain, Avaneesh, Rohit Verma +1
With the increasing reliance of users on smart devices, bringing essential computation at the edge has become a crucial requirement for any type of business. Many such computations…