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Over-the-Air Federated Learning with Energy Harvesting Devices
Ozan Aygün, Mohammad Kazemi, Deniz Gündüz +1
We consider federated edge learning (FEEL) among mobile devices that harvest the required energy from their surroundings, and share their updates with the parameter server (PS) thr…
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
Michal Yemini, Rajarshi Saha, Emre Ozfatura +2
Intermittent connectivity of clients to the parameter server (PS) is a major bottleneck in federated edge learning frameworks. The lack of constant connectivity induces a large gen…
Functional Broadcast Repair of Multiple Partial Failures in Wireless Distributed Storage Systems
Nitish Mital, Katina Kralevska, Cong Ling +1
We consider a distributed storage system with nodes, where a user can recover the stored file from any nodes, and study the problem of repairing partially failed nodes.…
Coded Computation across Shared Heterogeneous Workers with Communication Delay
Yuxuan Sun, Fan Zhang, Junlin Zhao +3
Distributed computing enables large-scale computation tasks to be processed over multiple workers in parallel. However, the randomness of communication and computation delays acros…
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
Mohammad Mohammadi Amiri, Deniz Gunduz
We study federated machine learning (ML) at the wireless edge, where power- and bandwidth-limited wireless devices with local datasets carry out distributed stochastic gradient des…
Computation Scheduling for Distributed Machine Learning with Straggling Workers
Mohammad Mohammadi Amiri, Deniz Gunduz
We study scheduling of computation tasks across n workers in a large scale distributed learning problem with the help of a master. Computation and communication delays are assumed…