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09/03/2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Federated Learning (FL) has gained significant attraction due to its abi...
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08/12/2023
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Transfer learning via fine-tuning pre-trained transformer models has gai...
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03/27/2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
Secure aggregation promises a heightened level of privacy in federated l...
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03/21/2023
Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification
Security and privacy are important concerns in machine learning. End use...
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08/03/2022
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
Federated learning (FL) has attracted growing interest for enabling priv...
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10/02/2021
FairFed: Enabling Group Fairness in Federated Learning
As machine learning becomes increasingly incorporated in crucial decisio...
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08/01/2021
A Reinforcement Learning Approach for Scheduling in mmWave Networks
We consider a source that wishes to communicate with a destination at a ...
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02/01/2021
On optimal relay placement in directional networks
In this paper, we study the problem of optimal topology design in wirele...
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12/14/2020
Quantizing data for distributed learning
We consider machine learning applications that train a model by leveragi...
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05/13/2020
Gaussian 1-2-1 Networks with Imperfect Beamforming
In this work, we study bounds on the capacity of full-duplex Gaussian 1-...
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11/01/2019
On Distributed Quantization for Classification
We consider the problem of distributed feature quantization, where the g...
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01/09/2019
Polynomial-time Capacity Calculation and Scheduling for Half-Duplex 1-2-1 Networks
This paper studies the 1-2-1 half-duplex network model, where two half-d...
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01/09/2018
Secure Communication over 1-2-1 Networks
In a companion paper available in [1], the authors examined the capacity...
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01/08/2018