ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.01848
  4. Cited By
Distributed Learning in Non-Convex Environments -- Part I: Agreement at
  a Linear Rate

Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate

3 July 2019
Stefan Vlaski
Ali H. Sayed
ArXivPDFHTML

Papers citing "Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate"

14 / 14 papers shown
Title
Diffusion Stochastic Learning Over Adaptive Competing Networks
Diffusion Stochastic Learning Over Adaptive Competing Networks
Yike Zhao
H. Cai
Ali H. Sayed
DiffM
35
0
0
28 Apr 2025
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning
Muyun Li
Aaron Fainman
Stefan Vlaski
43
0
0
06 Jan 2025
Attribute Inference Attacks for Federated Regression Tasks
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana
Othmane Marfoq
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
279
1
0
19 Nov 2024
Decentralized Adversarial Training over Graphs
Decentralized Adversarial Training over Graphs
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
AAML
48
1
0
23 Mar 2023
Multi-Agent Adversarial Training Using Diffusion Learning
Multi-Agent Adversarial Training Using Diffusion Learning
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
DiffM
40
4
0
03 Mar 2023
Enforcing Privacy in Distributed Learning with Performance Guarantees
Enforcing Privacy in Distributed Learning with Performance Guarantees
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
FedML
38
9
0
16 Jan 2023
Local Model Reconstruction Attacks in Federated Learning and their Uses
Ilias Driouich
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
FedML
41
2
0
28 Oct 2022
Distributed Adaptive Learning Under Communication Constraints
Distributed Adaptive Learning Under Communication Constraints
Marco Carpentiero
Vincenzo Matta
Ali H. Sayed
29
17
0
03 Dec 2021
Competing Adaptive Networks
Competing Adaptive Networks
Stefan Vlaski
Ali H. Sayed
23
2
0
29 Mar 2021
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point
  Evasion
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion
Brian Swenson
Ryan W. Murray
H. Vincent Poor
S. Kar
22
16
0
12 Aug 2020
Variance-Reduced Decentralized Stochastic Optimization with Gradient
  Tracking -- Part II: GT-SVRG
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG
Ran Xin
U. Khan
S. Kar
22
8
0
08 Oct 2019
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex
  Optimization
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
Stefan Vlaski
Ali H. Sayed
ODL
37
21
0
19 Aug 2019
Distributed Learning in Non-Convex Environments -- Part II: Polynomial
  Escape from Saddle-Points
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points
Stefan Vlaski
Ali H. Sayed
27
53
0
03 Jul 2019
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
1