Výsledky vyhledávání - "Dhakal, Sagar"

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Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks

Autor: Prakash, Saurav, Dhakal, Sagar, Akdeniz, Mustafa, Yona, Yair, Talwar, Shilpa, Avestimehr, Salman, Himayat, Nageen

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 federated learning in a multi-access edge computing (MEC) network suffers fr

Externí odkaz: http://arxiv.org/abs/2011.06223

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Coded Computing for Federated Learning at the Edge

Autor: Prakash, Saurav, Dhakal, Sagar, Akdeniz, Mustafa, Avestimehr, A. Salman, Himayat, Nageen

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 centralized server. Performance of FL in a multi-access edge computing (MEC) net

Externí odkaz: http://arxiv.org/abs/2007.03273

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Coded Federated Learning

Autor: Dhakal, Sagar, Prakash, Saurav, Yona, Yair, Talwar, Shilpa, Himayat, Nageen

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 device and exchanged with a central server, which aggregates the local mod

Externí odkaz: http://arxiv.org/abs/2002.09574

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