99 citations · 188 across the 22 of their papers we have counts for
4 papers · 1 filter
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz +4
Federated learning enables training a global model from data located at the client nodes, without data sharing and moving client data to a centralized server. Performance of federa…
Coded Computing for Federated Learning at the Edge
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz +2
Federated Learning (FL) is an exciting new paradigm that enables training a global model from data generated locally at the client nodes, without moving client data to a centralize…
Handling Spontaneous Traffic Variations in 5G+ via Offloading onto mmWave-Capable UAV `Bridges'
Nikita Tafintsev, Dmitri Moltchanov, Sergey Andreev +4
Unmanned aerial vehicles (UAVs) are increasingly employed for numerous public and civil applications, such as goods delivery, medicine, surveillance, and telecommunications. For th…
Coded Federated Learning
Sagar Dhakal, Saurav Prakash, Yair Yona +2
Federated learning is a method of training a global model from decentralized data distributed across client devices. Here, model parameters are computed locally by each client devi…